Comorbidity Coding and Its Impact on Hospital Complexity

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To the Editor:

I read with interest the article by Sosa and colleagues1 in which they present some stimulating analyses pertaining to a topic that we have been discussing at my institution for several years. Part of this discussion deals with the complexity of our hospital and how complexity is affected by comorbidity coding.

In 2013, we implemented the International Refined-DRGs (IR-DRGs) system to measure complexity at our hospital in Bogotá, Colombia. Our perception at that time was that the case mix index (CMI) was very low (0.7566), even for a general hospital with a high volume of pathologies with low relative weight (RW). Two medical auditors were assigned to review the medical records in order to improve the quality, quantity, and order of diagnoses. Emphasis was placed on patients with stays longer than 5 days and with only 1 diagnosis coded at admission. Additionally, International Classification of Diseases 10th Revision (World Health Organization version) diagnoses from chapters R (Symptoms and Signs Not Elsewhere Classified) and V through Y (External Causes) were blocked in the electronic health record. With these measures, our CMI increased 74%, reaching 1.3151 by the end of 2021, with a maximum peak of 1.6743 in May 2021, which coincided with the third peak of COVID-19 in Colombia.

However, the article by Sosa and colleagues draws my attention to the following: why do the authors state that their CMI is low and the patient acuity was under-represented? Is this due to a comparison with similar hospitals, or to a recommendation from a regulatory agency? We have found our CMI remains low because of a high volume of nonsurgical care (60%), deliveries, and digestive, respiratory, and urinary pathologies of low RW.

Also, was the perceived low CMI causing problems with payers? And further, how did the authors avoid the risk of artificially increasing the CMI through overdiagnosis of patients, and were there audit mechanisms to avoid this? While there was a clear change in expected mortality, did the observed mortality also change with the strategies implemented? This last question is relevant because, if the observed mortality were maintained, this would provide evidence that a coding problem was the cause of their hospital’s low CMI.

I reiterate my congratulations to the authors for presenting analyses that are very useful to other providers and researchers worldwide interested in addressing management issues related to the correct identification and classification of patients.

Carlos Kerguelen, MD, MA
Fundacion Santa Fe de Bogotá, Bogotá, Colombia
[email protected]

Disclosures: None reported.

References

1. Sosa M, Ferreira T, Gershengorn H, et al. Improving hospital metrics through the implementation of a comorbidity capture tool and other quality initiatives. J Clin Outcomes Manage. 2022;29(2):80-87. doi:10.12788/jcom.0088

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To the Editor:

I read with interest the article by Sosa and colleagues1 in which they present some stimulating analyses pertaining to a topic that we have been discussing at my institution for several years. Part of this discussion deals with the complexity of our hospital and how complexity is affected by comorbidity coding.

In 2013, we implemented the International Refined-DRGs (IR-DRGs) system to measure complexity at our hospital in Bogotá, Colombia. Our perception at that time was that the case mix index (CMI) was very low (0.7566), even for a general hospital with a high volume of pathologies with low relative weight (RW). Two medical auditors were assigned to review the medical records in order to improve the quality, quantity, and order of diagnoses. Emphasis was placed on patients with stays longer than 5 days and with only 1 diagnosis coded at admission. Additionally, International Classification of Diseases 10th Revision (World Health Organization version) diagnoses from chapters R (Symptoms and Signs Not Elsewhere Classified) and V through Y (External Causes) were blocked in the electronic health record. With these measures, our CMI increased 74%, reaching 1.3151 by the end of 2021, with a maximum peak of 1.6743 in May 2021, which coincided with the third peak of COVID-19 in Colombia.

However, the article by Sosa and colleagues draws my attention to the following: why do the authors state that their CMI is low and the patient acuity was under-represented? Is this due to a comparison with similar hospitals, or to a recommendation from a regulatory agency? We have found our CMI remains low because of a high volume of nonsurgical care (60%), deliveries, and digestive, respiratory, and urinary pathologies of low RW.

Also, was the perceived low CMI causing problems with payers? And further, how did the authors avoid the risk of artificially increasing the CMI through overdiagnosis of patients, and were there audit mechanisms to avoid this? While there was a clear change in expected mortality, did the observed mortality also change with the strategies implemented? This last question is relevant because, if the observed mortality were maintained, this would provide evidence that a coding problem was the cause of their hospital’s low CMI.

I reiterate my congratulations to the authors for presenting analyses that are very useful to other providers and researchers worldwide interested in addressing management issues related to the correct identification and classification of patients.

Carlos Kerguelen, MD, MA
Fundacion Santa Fe de Bogotá, Bogotá, Colombia
[email protected]

Disclosures: None reported.

To the Editor:

I read with interest the article by Sosa and colleagues1 in which they present some stimulating analyses pertaining to a topic that we have been discussing at my institution for several years. Part of this discussion deals with the complexity of our hospital and how complexity is affected by comorbidity coding.

In 2013, we implemented the International Refined-DRGs (IR-DRGs) system to measure complexity at our hospital in Bogotá, Colombia. Our perception at that time was that the case mix index (CMI) was very low (0.7566), even for a general hospital with a high volume of pathologies with low relative weight (RW). Two medical auditors were assigned to review the medical records in order to improve the quality, quantity, and order of diagnoses. Emphasis was placed on patients with stays longer than 5 days and with only 1 diagnosis coded at admission. Additionally, International Classification of Diseases 10th Revision (World Health Organization version) diagnoses from chapters R (Symptoms and Signs Not Elsewhere Classified) and V through Y (External Causes) were blocked in the electronic health record. With these measures, our CMI increased 74%, reaching 1.3151 by the end of 2021, with a maximum peak of 1.6743 in May 2021, which coincided with the third peak of COVID-19 in Colombia.

However, the article by Sosa and colleagues draws my attention to the following: why do the authors state that their CMI is low and the patient acuity was under-represented? Is this due to a comparison with similar hospitals, or to a recommendation from a regulatory agency? We have found our CMI remains low because of a high volume of nonsurgical care (60%), deliveries, and digestive, respiratory, and urinary pathologies of low RW.

Also, was the perceived low CMI causing problems with payers? And further, how did the authors avoid the risk of artificially increasing the CMI through overdiagnosis of patients, and were there audit mechanisms to avoid this? While there was a clear change in expected mortality, did the observed mortality also change with the strategies implemented? This last question is relevant because, if the observed mortality were maintained, this would provide evidence that a coding problem was the cause of their hospital’s low CMI.

I reiterate my congratulations to the authors for presenting analyses that are very useful to other providers and researchers worldwide interested in addressing management issues related to the correct identification and classification of patients.

Carlos Kerguelen, MD, MA
Fundacion Santa Fe de Bogotá, Bogotá, Colombia
[email protected]

Disclosures: None reported.

References

1. Sosa M, Ferreira T, Gershengorn H, et al. Improving hospital metrics through the implementation of a comorbidity capture tool and other quality initiatives. J Clin Outcomes Manage. 2022;29(2):80-87. doi:10.12788/jcom.0088

References

1. Sosa M, Ferreira T, Gershengorn H, et al. Improving hospital metrics through the implementation of a comorbidity capture tool and other quality initiatives. J Clin Outcomes Manage. 2022;29(2):80-87. doi:10.12788/jcom.0088

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Comorbidity Coding and Its Impact on Hospital Complexity
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Supporting Patients on Complex Care Journeys: How Technology Can Bridge the Gaps

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Supporting Patients on Complex Care Journeys: How Technology Can Bridge the Gaps

From Memora Health (Dr. Flyckt and Dr. Colbert), San Francisco, CA; and Harvard Medical School (Dr. Colbert), Boston, MA.

A close relative was recently diagnosed with follicular lymphoma. He was cared for at a high-ranked cancer center by physicians with demonstrated expertise, and even had the support of a care navigator. Still, he was often left feeling overwhelmed and confused, holding an inch-thick stack of papers, instructions, and pamphlets. As he left his treatment planning visit, reeling from the emotional burden of his diagnosis and all the unfamiliar terminology, he didn’t know what to do or what to expect. Later, when he experienced early signs of tumor lysis syndrome, he struggled to reach his care team for triage and guidance. When he went to the emergency room, his oncologist was never informed.

This scenario is unfortunately common, and versions of this scenario play out thousands of times each day across the US health system. Within the clinic and hospital setting, patients receive excellent care from their providers, but a disconnect emerges once the patient leaves these medical settings: patients at home struggle to find guidance and support, while care teams lack the tools to engage patients between visits or monitor their health across care settings, providers, or episodes of care.

Leveraging Technology to Move From Episodes of Care to Complex Care Journeys

The use of automated messaging, artificial intelligence and natural language processing–driven chat experiences, and text-based support is becoming more common. However, health care lags behind other industries in the adoption of these technologies.1,2 The slow pace can be warranted, given that health care is more complicated and higher risk than inquiring about a lost package, ordering groceries, or applying for a mortgage. At the same time, many of the consumer engagement tools used to guide an applicant through the multiple steps and complexities of their home loan process or to prompt viewers to select new shows to binge have applications in health care.

Over the past few years, technologies have emerged that guide patients through complex care journeys and allow care teams to monitor and engage patients between visits. These solutions come in different formats, but generally patients can receive messages on their phones that contain disease-specific educational content, prompts to fill prescriptions and take medications, and reminders and guidance on how to prepare for appointments and procedures. These programs also collect relevant data from patients through survey and electronic patient-reported outcomes instruments, as well as connected patient monitoring devices, that help track patient progress and identify issues as they arise. Many programs also incorporate symptom triage pathways and use natural language processing to respond automatically to patient questions and concerns.3,4

These technology solutions can automate many tasks that in the past required a care team member to spend hours on the phone. Newly freed from such repetitive tasks, care teams can now focus on more in-depth interactions with those patients who are most in need—the types of interactions that are more satisfying and rewarding. Such assistance is particularly needed today with the staffing shortages faced by most health systems.5

In addition, technology allows teams to see the panel of patients they are caring for and to quickly identify and take action on any specific needs or issues. Care teams can focus on any patient and see where they are in their journey. When appropriate, some solutions also allow care teams to engage directly with patients through text-messaging, creating a seamless experience and unified communication channel. Ideally, these solutions should be linked or embedded within the electronic health record or other primary system of record, so that teams can easily access these tools through their existing workflows and avoid creating yet another interface to navigate.

The Impact of Low-Tech Solutions to Deliver High-Touch Support

There is evidence showing that digital patient navigation tools impact patient care. In the oncology setting, patients with a digital navigator have achieved over 95% adherence rates with complex oral chemotherapy regimens (Memora Health Unpublished Data. 2022.). In the postpartum setting, a text message–based program improved screening rates for postpartum depression and did so with very high patient satisfaction ratings.6 Particularly notable is the fact that this depression screening program achieved these results in a population that was predominantly low income, with more than half belonging to underrepresented minority populations.6

We believe these digital patient navigation technologies, specifically low-tech solutions that don’t require app downloads, portal log-ins, or high-speed internet, will transform care delivery over the next 5 to 10 years. Successful management of complex conditions like diabetes or cancer requires more than 3 hours of care each day,7 yet most patients spend only 1 or 2 hours per month directly interacting with their health care providers. However, most patients carry their phones with them at all times, and artificial intelligence–enabled text support is “always on” to provide support, monitoring, and guidance, wherever a patient happens to be when assistance is needed.

Shifting the Model to Support a Lifetime of Care

While still in the early stages of development, these tools have the potential to radically alter the practice of medicine, shifting the focus from episodic interactions to continuous journey-based care delivery. Outside of an acute event bringing a patient into the clinic or emergency room, many patients go a year or more without seeing their primary care providers.8 During that time, an immense amount of information is underreported or completely lost. Capturing this information in real-time and more holistically over a person’s lifetime of care could provide physicians better insight to both better manage and more fully evaluate the success of treatment plans by tracking patient symptoms, pain, and functional status over time. With this more longitudinal view of the patient, we see a pathway towards achieving the Quadruple Aim: patients who are more supported will achieve better outcomes at lower cost, they will have a better experience, and care teams will be empowered to focus their time on more satisfying activities rather than repetitive administrative tasks.

Corresponding author: James A. Colbert, MD, MBA; [email protected]

Disclosures: Dr. Flyckt and Dr. Colbert are employed by Memora Health, an organization that helps health care systems digitize and automate care journeys.

References

1. Hermes S, Riasanow T, Clemons EK, et al. The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Bus Res. 2020;13:1033-1069. doi:10.1007/s40685-020-00125-x

2. Van Velthoven MH, Cordon C. Sustainable adoption of digital health innovations: perspectives from a stakeholder workshop. J Med Internet Res. 2019;21(3):e11922. doi:10.2196/11922

3. Campbell K, Louie P, Levine B, Gililland J. Using patient engagement platforms in the postoperative management of patients. Curr Rev Musculoskelet Med. 2020;13(4):479-484. doi:10.1007/s12178-020-09638-8

4. Xu L, Sanders L, Li K, Chow JCL. Chatbot for health care and oncology applications using artificial intelligence and machine learning: systematic review. JMIR Cancer. 2021;7(4):e27850. doi:10.2196/27850

5. Data brief: health care workforce challenges threaten hospitals’ ability to care for patients. American Hospital Association. Accessed July 24, 2022. www.aha.org/fact-sheets/2021-11-01-data-brief-health-care-workforce-challenges-threaten-hospitals-ability-care

6. Gaulton JS, Leitner K, Hahn L, et al. Healing at home: applying innovation principles to redesign and optimise postpartum care. BMJ Innovations. 2022;8:37-41.

7. Østbye T, Yarnall KS, Krause KM, et al. Is there time for management of patients with chronic diseases in primary care? Ann Fam Med. 2005;3(3):209-214. doi:10.1370/afm.310

8. Ganguli I, Shi Z, E. Orav J, et al. Declining use of primary care among commercially insured adults in the united states, 2008–2016. Ann Intern Med. 2020;172:240-247. doi:10.7326/M19-1834

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From Memora Health (Dr. Flyckt and Dr. Colbert), San Francisco, CA; and Harvard Medical School (Dr. Colbert), Boston, MA.

A close relative was recently diagnosed with follicular lymphoma. He was cared for at a high-ranked cancer center by physicians with demonstrated expertise, and even had the support of a care navigator. Still, he was often left feeling overwhelmed and confused, holding an inch-thick stack of papers, instructions, and pamphlets. As he left his treatment planning visit, reeling from the emotional burden of his diagnosis and all the unfamiliar terminology, he didn’t know what to do or what to expect. Later, when he experienced early signs of tumor lysis syndrome, he struggled to reach his care team for triage and guidance. When he went to the emergency room, his oncologist was never informed.

This scenario is unfortunately common, and versions of this scenario play out thousands of times each day across the US health system. Within the clinic and hospital setting, patients receive excellent care from their providers, but a disconnect emerges once the patient leaves these medical settings: patients at home struggle to find guidance and support, while care teams lack the tools to engage patients between visits or monitor their health across care settings, providers, or episodes of care.

Leveraging Technology to Move From Episodes of Care to Complex Care Journeys

The use of automated messaging, artificial intelligence and natural language processing–driven chat experiences, and text-based support is becoming more common. However, health care lags behind other industries in the adoption of these technologies.1,2 The slow pace can be warranted, given that health care is more complicated and higher risk than inquiring about a lost package, ordering groceries, or applying for a mortgage. At the same time, many of the consumer engagement tools used to guide an applicant through the multiple steps and complexities of their home loan process or to prompt viewers to select new shows to binge have applications in health care.

Over the past few years, technologies have emerged that guide patients through complex care journeys and allow care teams to monitor and engage patients between visits. These solutions come in different formats, but generally patients can receive messages on their phones that contain disease-specific educational content, prompts to fill prescriptions and take medications, and reminders and guidance on how to prepare for appointments and procedures. These programs also collect relevant data from patients through survey and electronic patient-reported outcomes instruments, as well as connected patient monitoring devices, that help track patient progress and identify issues as they arise. Many programs also incorporate symptom triage pathways and use natural language processing to respond automatically to patient questions and concerns.3,4

These technology solutions can automate many tasks that in the past required a care team member to spend hours on the phone. Newly freed from such repetitive tasks, care teams can now focus on more in-depth interactions with those patients who are most in need—the types of interactions that are more satisfying and rewarding. Such assistance is particularly needed today with the staffing shortages faced by most health systems.5

In addition, technology allows teams to see the panel of patients they are caring for and to quickly identify and take action on any specific needs or issues. Care teams can focus on any patient and see where they are in their journey. When appropriate, some solutions also allow care teams to engage directly with patients through text-messaging, creating a seamless experience and unified communication channel. Ideally, these solutions should be linked or embedded within the electronic health record or other primary system of record, so that teams can easily access these tools through their existing workflows and avoid creating yet another interface to navigate.

The Impact of Low-Tech Solutions to Deliver High-Touch Support

There is evidence showing that digital patient navigation tools impact patient care. In the oncology setting, patients with a digital navigator have achieved over 95% adherence rates with complex oral chemotherapy regimens (Memora Health Unpublished Data. 2022.). In the postpartum setting, a text message–based program improved screening rates for postpartum depression and did so with very high patient satisfaction ratings.6 Particularly notable is the fact that this depression screening program achieved these results in a population that was predominantly low income, with more than half belonging to underrepresented minority populations.6

We believe these digital patient navigation technologies, specifically low-tech solutions that don’t require app downloads, portal log-ins, or high-speed internet, will transform care delivery over the next 5 to 10 years. Successful management of complex conditions like diabetes or cancer requires more than 3 hours of care each day,7 yet most patients spend only 1 or 2 hours per month directly interacting with their health care providers. However, most patients carry their phones with them at all times, and artificial intelligence–enabled text support is “always on” to provide support, monitoring, and guidance, wherever a patient happens to be when assistance is needed.

Shifting the Model to Support a Lifetime of Care

While still in the early stages of development, these tools have the potential to radically alter the practice of medicine, shifting the focus from episodic interactions to continuous journey-based care delivery. Outside of an acute event bringing a patient into the clinic or emergency room, many patients go a year or more without seeing their primary care providers.8 During that time, an immense amount of information is underreported or completely lost. Capturing this information in real-time and more holistically over a person’s lifetime of care could provide physicians better insight to both better manage and more fully evaluate the success of treatment plans by tracking patient symptoms, pain, and functional status over time. With this more longitudinal view of the patient, we see a pathway towards achieving the Quadruple Aim: patients who are more supported will achieve better outcomes at lower cost, they will have a better experience, and care teams will be empowered to focus their time on more satisfying activities rather than repetitive administrative tasks.

Corresponding author: James A. Colbert, MD, MBA; [email protected]

Disclosures: Dr. Flyckt and Dr. Colbert are employed by Memora Health, an organization that helps health care systems digitize and automate care journeys.

From Memora Health (Dr. Flyckt and Dr. Colbert), San Francisco, CA; and Harvard Medical School (Dr. Colbert), Boston, MA.

A close relative was recently diagnosed with follicular lymphoma. He was cared for at a high-ranked cancer center by physicians with demonstrated expertise, and even had the support of a care navigator. Still, he was often left feeling overwhelmed and confused, holding an inch-thick stack of papers, instructions, and pamphlets. As he left his treatment planning visit, reeling from the emotional burden of his diagnosis and all the unfamiliar terminology, he didn’t know what to do or what to expect. Later, when he experienced early signs of tumor lysis syndrome, he struggled to reach his care team for triage and guidance. When he went to the emergency room, his oncologist was never informed.

This scenario is unfortunately common, and versions of this scenario play out thousands of times each day across the US health system. Within the clinic and hospital setting, patients receive excellent care from their providers, but a disconnect emerges once the patient leaves these medical settings: patients at home struggle to find guidance and support, while care teams lack the tools to engage patients between visits or monitor their health across care settings, providers, or episodes of care.

Leveraging Technology to Move From Episodes of Care to Complex Care Journeys

The use of automated messaging, artificial intelligence and natural language processing–driven chat experiences, and text-based support is becoming more common. However, health care lags behind other industries in the adoption of these technologies.1,2 The slow pace can be warranted, given that health care is more complicated and higher risk than inquiring about a lost package, ordering groceries, or applying for a mortgage. At the same time, many of the consumer engagement tools used to guide an applicant through the multiple steps and complexities of their home loan process or to prompt viewers to select new shows to binge have applications in health care.

Over the past few years, technologies have emerged that guide patients through complex care journeys and allow care teams to monitor and engage patients between visits. These solutions come in different formats, but generally patients can receive messages on their phones that contain disease-specific educational content, prompts to fill prescriptions and take medications, and reminders and guidance on how to prepare for appointments and procedures. These programs also collect relevant data from patients through survey and electronic patient-reported outcomes instruments, as well as connected patient monitoring devices, that help track patient progress and identify issues as they arise. Many programs also incorporate symptom triage pathways and use natural language processing to respond automatically to patient questions and concerns.3,4

These technology solutions can automate many tasks that in the past required a care team member to spend hours on the phone. Newly freed from such repetitive tasks, care teams can now focus on more in-depth interactions with those patients who are most in need—the types of interactions that are more satisfying and rewarding. Such assistance is particularly needed today with the staffing shortages faced by most health systems.5

In addition, technology allows teams to see the panel of patients they are caring for and to quickly identify and take action on any specific needs or issues. Care teams can focus on any patient and see where they are in their journey. When appropriate, some solutions also allow care teams to engage directly with patients through text-messaging, creating a seamless experience and unified communication channel. Ideally, these solutions should be linked or embedded within the electronic health record or other primary system of record, so that teams can easily access these tools through their existing workflows and avoid creating yet another interface to navigate.

The Impact of Low-Tech Solutions to Deliver High-Touch Support

There is evidence showing that digital patient navigation tools impact patient care. In the oncology setting, patients with a digital navigator have achieved over 95% adherence rates with complex oral chemotherapy regimens (Memora Health Unpublished Data. 2022.). In the postpartum setting, a text message–based program improved screening rates for postpartum depression and did so with very high patient satisfaction ratings.6 Particularly notable is the fact that this depression screening program achieved these results in a population that was predominantly low income, with more than half belonging to underrepresented minority populations.6

We believe these digital patient navigation technologies, specifically low-tech solutions that don’t require app downloads, portal log-ins, or high-speed internet, will transform care delivery over the next 5 to 10 years. Successful management of complex conditions like diabetes or cancer requires more than 3 hours of care each day,7 yet most patients spend only 1 or 2 hours per month directly interacting with their health care providers. However, most patients carry their phones with them at all times, and artificial intelligence–enabled text support is “always on” to provide support, monitoring, and guidance, wherever a patient happens to be when assistance is needed.

Shifting the Model to Support a Lifetime of Care

While still in the early stages of development, these tools have the potential to radically alter the practice of medicine, shifting the focus from episodic interactions to continuous journey-based care delivery. Outside of an acute event bringing a patient into the clinic or emergency room, many patients go a year or more without seeing their primary care providers.8 During that time, an immense amount of information is underreported or completely lost. Capturing this information in real-time and more holistically over a person’s lifetime of care could provide physicians better insight to both better manage and more fully evaluate the success of treatment plans by tracking patient symptoms, pain, and functional status over time. With this more longitudinal view of the patient, we see a pathway towards achieving the Quadruple Aim: patients who are more supported will achieve better outcomes at lower cost, they will have a better experience, and care teams will be empowered to focus their time on more satisfying activities rather than repetitive administrative tasks.

Corresponding author: James A. Colbert, MD, MBA; [email protected]

Disclosures: Dr. Flyckt and Dr. Colbert are employed by Memora Health, an organization that helps health care systems digitize and automate care journeys.

References

1. Hermes S, Riasanow T, Clemons EK, et al. The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Bus Res. 2020;13:1033-1069. doi:10.1007/s40685-020-00125-x

2. Van Velthoven MH, Cordon C. Sustainable adoption of digital health innovations: perspectives from a stakeholder workshop. J Med Internet Res. 2019;21(3):e11922. doi:10.2196/11922

3. Campbell K, Louie P, Levine B, Gililland J. Using patient engagement platforms in the postoperative management of patients. Curr Rev Musculoskelet Med. 2020;13(4):479-484. doi:10.1007/s12178-020-09638-8

4. Xu L, Sanders L, Li K, Chow JCL. Chatbot for health care and oncology applications using artificial intelligence and machine learning: systematic review. JMIR Cancer. 2021;7(4):e27850. doi:10.2196/27850

5. Data brief: health care workforce challenges threaten hospitals’ ability to care for patients. American Hospital Association. Accessed July 24, 2022. www.aha.org/fact-sheets/2021-11-01-data-brief-health-care-workforce-challenges-threaten-hospitals-ability-care

6. Gaulton JS, Leitner K, Hahn L, et al. Healing at home: applying innovation principles to redesign and optimise postpartum care. BMJ Innovations. 2022;8:37-41.

7. Østbye T, Yarnall KS, Krause KM, et al. Is there time for management of patients with chronic diseases in primary care? Ann Fam Med. 2005;3(3):209-214. doi:10.1370/afm.310

8. Ganguli I, Shi Z, E. Orav J, et al. Declining use of primary care among commercially insured adults in the united states, 2008–2016. Ann Intern Med. 2020;172:240-247. doi:10.7326/M19-1834

References

1. Hermes S, Riasanow T, Clemons EK, et al. The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Bus Res. 2020;13:1033-1069. doi:10.1007/s40685-020-00125-x

2. Van Velthoven MH, Cordon C. Sustainable adoption of digital health innovations: perspectives from a stakeholder workshop. J Med Internet Res. 2019;21(3):e11922. doi:10.2196/11922

3. Campbell K, Louie P, Levine B, Gililland J. Using patient engagement platforms in the postoperative management of patients. Curr Rev Musculoskelet Med. 2020;13(4):479-484. doi:10.1007/s12178-020-09638-8

4. Xu L, Sanders L, Li K, Chow JCL. Chatbot for health care and oncology applications using artificial intelligence and machine learning: systematic review. JMIR Cancer. 2021;7(4):e27850. doi:10.2196/27850

5. Data brief: health care workforce challenges threaten hospitals’ ability to care for patients. American Hospital Association. Accessed July 24, 2022. www.aha.org/fact-sheets/2021-11-01-data-brief-health-care-workforce-challenges-threaten-hospitals-ability-care

6. Gaulton JS, Leitner K, Hahn L, et al. Healing at home: applying innovation principles to redesign and optimise postpartum care. BMJ Innovations. 2022;8:37-41.

7. Østbye T, Yarnall KS, Krause KM, et al. Is there time for management of patients with chronic diseases in primary care? Ann Fam Med. 2005;3(3):209-214. doi:10.1370/afm.310

8. Ganguli I, Shi Z, E. Orav J, et al. Declining use of primary care among commercially insured adults in the united states, 2008–2016. Ann Intern Med. 2020;172:240-247. doi:10.7326/M19-1834

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The Mission of Continuous Improvement in Health Care: A New Era for Clinical Outcomes Management

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The Mission of Continuous Improvement in Health Care: A New Era for Clinical Outcomes Management

This issue of the Journal of Clinical Outcomes (JCOM) debuts a new cover design that brings forward the articles and features in each issue. Although the Journal’s cover has a new look, JCOM’s goals remain the same—improving care by disseminating evidence of quality improvement in health care and sharing access to the medical literature with our readers. We continue our mission to promote the best medical practice by providing clinicians with updates and communicating advances that lead to measurable improvement in health care delivery, quality, and outcomes.

As we continue the work of improving health care quality, knowledge gaps and unmet needs in the literature remain. These unmet needs are evident throughout all phases of health care delivery. Moreover, the Institutes of Medicine report that centered on efforts to build a safer health care environment by redesigning health care processes remains salient.1 The journey to continuous improvement in health care, where we achieve threshold change in the quality of each process and across the entire health care system, requires collective effort. Such efforts include establishing clear metrics and measurements for improvement goals throughout the patient’s journey through diagnosis, treatment, transitions of care, and disease management.2,3 To address evidence and knowledge gaps in the literature, JCOM publishes reports of original studies and quality improvement projects as well as reviews, providing its 30,000 readers with new evidence to implement in daily practice. We welcome submissions of original research reports, reports of quality improvement projects that follow the SQUIRE 2.0 standards,4 and perspectives on developments and innovations in health care delivery.

The next chapter in health care delivery improvement will encompass value-based care.5 This new era of clinical outcomes management will dictate the metrics and outcomes reporting6 and how to plan future investments. The value-based phase will increase innovation and shape policies that advance population health, transforming every step in the care delivery journey.7 The next phase in health care delivery will also create a viable financial structure while implementing effective performance measures for optimal outcomes through patient-centered care and optimization of cost and care strategies. In light of health care’s evolution toward a value-based model, JCOM welcomes submissions of manuscripts that explore themes central to this model, including patient-centered care, implementation of best practices, system design, safety, cost-effectiveness, and the balance between cost optimization and quality. For JCOM’s authors and readers, our editorial team remains commited to the highest standards in timely publishing to support our community through our collective expertise and dedication to quality improvement.

Corresponding author: Ebrahim Barkoudah, MD, MPH, Department of Medicine, Brigham and Women’s Hospital, Boston, MA; [email protected]

References

1. Institute of Medicine (US) Committee on Quality of Health Care in America. To Err is Human: Building a Safer Health System. Washington (DC): National Academies Press (US); 2000.

2. Singh H, Sittig DF. Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework. BMJ Qual Saf. 2015;24(2):103-10. doi:10.1136/bmjqs-2014-003675

3. Bates DW. Preventing medication errors: a summary. Am J Health Syst Pharm. 2007;64(14 Suppl 9):S3-9. doi:10.2146/ajhp070190

4. Revised Standards for Quality Improvement Reporting Excellence. SQUIRE 2.0. Accessed July 25, 2022. http://squire-statement.org

5. Gray M. Value based healthcare. BMJ. 2017;356:j437. doi:10.1136/bmj.j437

6. What is value-based healthcare? NEJM Catalyst. January 1, 2017. Accessed July 25, 2022. catalyst.nejm.org/doi/full/10.1056/CAT.17.0558

7. Porter ME, Teisberg EO. Redefining Health Care: Creating Value-Based Competition on Results. Harvard Business Press; 2006.

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This issue of the Journal of Clinical Outcomes (JCOM) debuts a new cover design that brings forward the articles and features in each issue. Although the Journal’s cover has a new look, JCOM’s goals remain the same—improving care by disseminating evidence of quality improvement in health care and sharing access to the medical literature with our readers. We continue our mission to promote the best medical practice by providing clinicians with updates and communicating advances that lead to measurable improvement in health care delivery, quality, and outcomes.

As we continue the work of improving health care quality, knowledge gaps and unmet needs in the literature remain. These unmet needs are evident throughout all phases of health care delivery. Moreover, the Institutes of Medicine report that centered on efforts to build a safer health care environment by redesigning health care processes remains salient.1 The journey to continuous improvement in health care, where we achieve threshold change in the quality of each process and across the entire health care system, requires collective effort. Such efforts include establishing clear metrics and measurements for improvement goals throughout the patient’s journey through diagnosis, treatment, transitions of care, and disease management.2,3 To address evidence and knowledge gaps in the literature, JCOM publishes reports of original studies and quality improvement projects as well as reviews, providing its 30,000 readers with new evidence to implement in daily practice. We welcome submissions of original research reports, reports of quality improvement projects that follow the SQUIRE 2.0 standards,4 and perspectives on developments and innovations in health care delivery.

The next chapter in health care delivery improvement will encompass value-based care.5 This new era of clinical outcomes management will dictate the metrics and outcomes reporting6 and how to plan future investments. The value-based phase will increase innovation and shape policies that advance population health, transforming every step in the care delivery journey.7 The next phase in health care delivery will also create a viable financial structure while implementing effective performance measures for optimal outcomes through patient-centered care and optimization of cost and care strategies. In light of health care’s evolution toward a value-based model, JCOM welcomes submissions of manuscripts that explore themes central to this model, including patient-centered care, implementation of best practices, system design, safety, cost-effectiveness, and the balance between cost optimization and quality. For JCOM’s authors and readers, our editorial team remains commited to the highest standards in timely publishing to support our community through our collective expertise and dedication to quality improvement.

Corresponding author: Ebrahim Barkoudah, MD, MPH, Department of Medicine, Brigham and Women’s Hospital, Boston, MA; [email protected]

This issue of the Journal of Clinical Outcomes (JCOM) debuts a new cover design that brings forward the articles and features in each issue. Although the Journal’s cover has a new look, JCOM’s goals remain the same—improving care by disseminating evidence of quality improvement in health care and sharing access to the medical literature with our readers. We continue our mission to promote the best medical practice by providing clinicians with updates and communicating advances that lead to measurable improvement in health care delivery, quality, and outcomes.

As we continue the work of improving health care quality, knowledge gaps and unmet needs in the literature remain. These unmet needs are evident throughout all phases of health care delivery. Moreover, the Institutes of Medicine report that centered on efforts to build a safer health care environment by redesigning health care processes remains salient.1 The journey to continuous improvement in health care, where we achieve threshold change in the quality of each process and across the entire health care system, requires collective effort. Such efforts include establishing clear metrics and measurements for improvement goals throughout the patient’s journey through diagnosis, treatment, transitions of care, and disease management.2,3 To address evidence and knowledge gaps in the literature, JCOM publishes reports of original studies and quality improvement projects as well as reviews, providing its 30,000 readers with new evidence to implement in daily practice. We welcome submissions of original research reports, reports of quality improvement projects that follow the SQUIRE 2.0 standards,4 and perspectives on developments and innovations in health care delivery.

The next chapter in health care delivery improvement will encompass value-based care.5 This new era of clinical outcomes management will dictate the metrics and outcomes reporting6 and how to plan future investments. The value-based phase will increase innovation and shape policies that advance population health, transforming every step in the care delivery journey.7 The next phase in health care delivery will also create a viable financial structure while implementing effective performance measures for optimal outcomes through patient-centered care and optimization of cost and care strategies. In light of health care’s evolution toward a value-based model, JCOM welcomes submissions of manuscripts that explore themes central to this model, including patient-centered care, implementation of best practices, system design, safety, cost-effectiveness, and the balance between cost optimization and quality. For JCOM’s authors and readers, our editorial team remains commited to the highest standards in timely publishing to support our community through our collective expertise and dedication to quality improvement.

Corresponding author: Ebrahim Barkoudah, MD, MPH, Department of Medicine, Brigham and Women’s Hospital, Boston, MA; [email protected]

References

1. Institute of Medicine (US) Committee on Quality of Health Care in America. To Err is Human: Building a Safer Health System. Washington (DC): National Academies Press (US); 2000.

2. Singh H, Sittig DF. Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework. BMJ Qual Saf. 2015;24(2):103-10. doi:10.1136/bmjqs-2014-003675

3. Bates DW. Preventing medication errors: a summary. Am J Health Syst Pharm. 2007;64(14 Suppl 9):S3-9. doi:10.2146/ajhp070190

4. Revised Standards for Quality Improvement Reporting Excellence. SQUIRE 2.0. Accessed July 25, 2022. http://squire-statement.org

5. Gray M. Value based healthcare. BMJ. 2017;356:j437. doi:10.1136/bmj.j437

6. What is value-based healthcare? NEJM Catalyst. January 1, 2017. Accessed July 25, 2022. catalyst.nejm.org/doi/full/10.1056/CAT.17.0558

7. Porter ME, Teisberg EO. Redefining Health Care: Creating Value-Based Competition on Results. Harvard Business Press; 2006.

References

1. Institute of Medicine (US) Committee on Quality of Health Care in America. To Err is Human: Building a Safer Health System. Washington (DC): National Academies Press (US); 2000.

2. Singh H, Sittig DF. Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework. BMJ Qual Saf. 2015;24(2):103-10. doi:10.1136/bmjqs-2014-003675

3. Bates DW. Preventing medication errors: a summary. Am J Health Syst Pharm. 2007;64(14 Suppl 9):S3-9. doi:10.2146/ajhp070190

4. Revised Standards for Quality Improvement Reporting Excellence. SQUIRE 2.0. Accessed July 25, 2022. http://squire-statement.org

5. Gray M. Value based healthcare. BMJ. 2017;356:j437. doi:10.1136/bmj.j437

6. What is value-based healthcare? NEJM Catalyst. January 1, 2017. Accessed July 25, 2022. catalyst.nejm.org/doi/full/10.1056/CAT.17.0558

7. Porter ME, Teisberg EO. Redefining Health Care: Creating Value-Based Competition on Results. Harvard Business Press; 2006.

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Geriatric-Centered Interdisciplinary Care Pathway Reduces Delirium in Hospitalized Older Adults With Traumatic Injury

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Geriatric-Centered Interdisciplinary Care Pathway Reduces Delirium in Hospitalized Older Adults With Traumatic Injury

Study 1 Overview (Park et al)

Objective: To examine whether implementation of a geriatric trauma clinical pathway is associated with reduced rates of delirium in older adults with traumatic injury.

Design: Retrospective case-control study of electronic health records.

Setting and participants: Eligible patients were persons aged 65 years or older who were admitted to the trauma service and did not undergo an operation. A Geriatric Trauma Care Pathway was developed by a multidisciplinary Stanford Quality Pathways team and formally launched on November 1, 2018. The clinical pathway was designed to incorporate geriatric best practices, which included order sets (eg, age-appropriate nonpharmacological interventions and pharmacological dosages), guidelines (eg, Institute for Healthcare Improvement Age-Friendly Health systems 4M framework), automated consultations (comprehensive geriatric assessment), and escalation pathways executed by a multidisciplinary team (eg, pain, bowel, and sleep regulation). The clinical pathway began with admission to the emergency department (ED) (ie, automatic trigger of geriatric trauma care admission order set), daily multidisciplinary team meetings during acute hospitalization, and a transitional care team consultation for postdischarge follow-up or home visit.

Main outcome measures: The primary outcome was delirium as determined by a positive Confusion Assessment Method (CAM) score or a diagnosis of delirium by the clinical team. The secondary outcome was hospital length of stay (LOS). Process measures for pathway compliance (eg, achieving adequate pain control, early mobilization, advance care planning) were assessed. Outcome measures were compared between patients who underwent the Geriatric Trauma Care Pathway intervention (postimplementation group) vs patients who were treated prior to pathway implementation (baseline pre-implementation group).

Main results: Of the 859 eligible patients, 712 were included in the analysis (442 [62.1%] in the baseline pre-implementation group and 270 [37.9%] in the postimplementation group); mean (SD) age was 81.4 (9.1) years, and 394 (55.3%) were women. The injury mechanism was similar between groups, with falls being the most common cause of injury (247 [55.9%] in the baseline group vs 162 [60.0%] in the postimplementation group; P = .43). Injuries as measured by Injury Severity Score (ISS) were minor or moderate in both groups (261 [59.0%] in baseline group vs 168 [62.2%] in postimplementation group; P = .87). The adjusted odds ratio (OR) for delirium in the postimplementation group was lower compared to the baseline pre-implementation group (OR, 0.54; 95% CI, 0.37-0.80; P < .001). Measures of advance care planning in the postimplementation group improved, including more frequent goals-of-care documentation (53.7% in postimplementation group vs 16.7% in baseline group; P < .001) and a shortened time to first goals-of-care discussion upon presenting to the ED (36 hours in postimplementation group vs 50 hours in baseline group; P = .03).

Conclusion: Implementation of a multidisciplinary geriatric trauma clinical pathway for older adults with traumatic injury at a single level I trauma center was associated with reduced rates of delirium.

Study 2 Overview (Bryant et al)

Objective: To determine whether an interdisciplinary care pathway for frail trauma patients can improve in-hospital mortality, complications, and 30-day readmissions.

Design: Retrospective cohort study of frail patients.

Setting and participants: Eligible patients were persons aged 65 years or older who were admitted to the trauma service and survived more than 24 hours; admitted to and discharged from the trauma unit; and determined to be pre-frail or frail by a geriatrician’s assessment. A Frailty Identification and Care Pathway designed to reduce delirium and complications in frail older trauma patients was developed by a multidisciplinary team and implemented in 2016. The standardized evidence-based interdisciplinary care pathway included utilization of order sets and interventions for delirium prevention, early ambulation, bowel and pain regimens, nutrition and physical therapy consults, medication management, care-goal setting, and geriatric assessments.

Main outcome measures: The main outcomes were delirium as determined by a positive CAM score, major complications as defined by the Trauma Quality Improvement Project, in-hospital mortality, and 30-day hospital readmission. Outcome measures were compared between patients who underwent Frailty Identification and Care Pathway intervention (postintervention group) vs patients who were treated prior to pathway implementation (pre-intervention group).

Main results: A total of 269 frail patients were included in the analysis (125 in pre-intervention group vs 144 in postintervention group). Patient demographic and admission characteristics were similar between the 2 groups: mean age was 83.5 (7.1) years, 60.6% were women, and median ISS was 10 (interquartile range [IQR], 9-14). The injury mechanism was similar between groups, with falls accounting for 92.8% and 86.1% of injuries in the pre-intervention and postintervention groups, respectively (P = .07). In univariate analysis, the Frailty Identification and Care Pathway intervention was associated with a significant reduction in delirium (12.5% vs 21.6%, P = .04) and 30-day hospital readmission (2.7% vs 9.6%, P = .01) compared to patients in the pre-intervention group. However, rates of major complications (28.5% vs 28.0%, P = 0.93) and in-hospital mortality (4.2% vs 7.2%, P = .28) were similar between the pre-intervention and postintervention groups. In multivariate logistic regression models adjusted for patient characteristics (age, sex, race, ISS), patients in the postintervention group had lower delirium (OR, 0.44; 95% CI, 0.22-0.88; P = .02) and 30-day hospital readmission (OR, 0.25; 95% CI, 0.07-0.84; P = .02) rates compared to those in the pre-intervention group.

Conclusion: Implementation of an interdisciplinary care protocol for frail geriatric trauma patients significantly decreased their risks for in-hospital delirium and 30-day hospital readmission.

 

 

Commentary

Traumatic injuries in older adults are associated with higher morbidity and mortality compared to younger patients, with falls and motor vehicle accidents accounting for a majority of these injuries. Astoundingly, up to one-third of this vulnerable population presenting to hospitals with an ISS greater than 15 may die during hospitalization.1 As a result, a large number of studies and clinical trials have focused on interventions that are designed to reduce fall risks, and hence reduce adverse consequences of traumatic injuries that may arise after falls.2 However, this emphasis on falls prevention has overshadowed a need to develop effective geriatric-centered clinical interventions that aim to improve outcomes in older adults who present to hospitals with traumatic injuries. Furthermore, frailty—a geriatric syndrome indicative of an increased state of vulnerability and predictive of adverse outcomes such as delirium—is highly prevalent in older patients with traumatic injury.3 Thus, there is an urgent need to develop novel, hospital-based, traumatic injury–targeting strategies that incorporate a thoughtful redesign of the care framework that includes evidence-based interventions for geriatric syndromes such as delirium and frailty.

The study reported by Park et al (Study 1) represents the latest effort to evaluate inpatient management strategies designed to improve outcomes in hospitalized older adults who have sustained traumatic injury. Through the implementation of a novel multidisciplinary Geriatric Trauma Care Pathway that incorporates geriatric best practices, this intervention was found to be associated with a 46% lower risk of in-hospital delirium. Because of the inclusion of all age-eligible patients across all strata of traumatic injuries, rather than preselecting for those at the highest risk for poor clinical outcomes, the benefits of this intervention extend to those with minor or moderate injury severity. Furthermore, the improvement in delirium (ie, the primary outcome) is particularly meaningful given that delirium is one of the most common hospital-associated complications that increase hospital LOS, discharge to an institution, and mortality in older adults. Finally, the study’s observed reduced time to a first goals-of-care discussion and increased frequency of goals-of-care documentation after intervention should not be overlooked. The improvements in these 2 process measures are highly significant given that advanced care planning, an intervention that helps to align patients’ values, goals, and treatments, is completed at substantially lower rates in older adults in the acute hospital setting.4

Similarly, in an earlier published study, Bryant and colleagues (Study 2) also show that a geriatric-focused interdisciplinary trauma care pathway is associated with delirium risk reduction in hospitalized older trauma patients. Much like Study 1, the Frailty Identification and Care Pathway utilized in Study 2 is an evidence-based interdisciplinary care pathway that includes the use of geriatric assessments, order sets, and geriatric best practices. Moreover, its exclusive inclusion of pre-frail and frail older patients (ie, those at higher risk for poor outcomes) with moderate injury severity (median ISS of 10 [IQR, 9-14]) suggests that this type of care pathway benefits hospitalized older trauma patients, who are particularly vulnerable to adverse complications such as delirium. Moreover, the successful utilization of the FRAIL questionnaire, a validated frailty screening tool, by surgical residents in the ED to initiate this care pathway demonstrates the feasibility of its use in expediting frailty screening in older patients in trauma care.

 

 

Application for Clinical Practice and System Implementation

Findings from the 2 studies discussed in this review indicate that implementation of interdisciplinary clinical care pathways predicated on evidence-based geriatric principles and best practices is a promising approach to reduce delirium in hospitalized older trauma patients. These studies have helped to lay the groundwork in outlining the roadmaps (eg, processes and infrastructures) needed to create such clinical pathways. These key elements include: (1) integration of a multidisciplinary committee (eg, representation from trauma, emergency, and geriatric medicine, nursing, physical and occupational therapy, pharmacy, social work) in pathway design and implementation; (2) adaption of evidence-based geriatric best practices (eg, the Institute for Healthcare Improvement Age-Friendly Health System 4M framework [medication, mentation, mobility, what matters]) to prioritize interventions and to design a pathway that incorporates these features; (3) incorporation of comprehensive geriatric assessment by interdisciplinary providers; (4) utilization of validated clinical instruments to assess physical and cognitive functions, frailty, delirium, and social determinants of health; (5) modification of electronic health record systems to encompass order sets that incorporate evidence-based, nonpharmacological and pharmacological interventions to manage symptoms (eg, delirium, pain, bowel movement, sleep, immobility, polypharmacy) essential to quality geriatric care; and (6) integration of patient and caregiver preferences via goals-of-care discussions and corresponding documentation and communication of these goals.

Additionally, these 2 studies imparted some strategies that may facilitate the implementation of interdisciplinary clinical care pathways in trauma care. Examples of such facilitators include: (1) collaboration with champions within each specialty to reinforce education and buy-in; (2) creation of automatically triggered order sets upon patient presentation to the ED that unites distinct features of clinical pathways; (3) adaption and reorganization of existing hospital infrastructures and resources to meet the needs of clinical pathways implementation (eg, utilizing information technology resources to develop electronic health record order sets; using quality department to develop clinical pathway guidelines and electronic outcome dashboards); and (4) development of individualized patient and caregiver education materials based on care needs (eg, principles of delirium prevention and preservation of mobility during hospitalization) to prepare and engage these stakeholders in patient care and recovery.

Practice Points

  • A geriatric interdisciplinary care model can be effectively applied to the management of acute trauma in older patients.
  • Interdisciplinary clinical pathways should incorporate geriatric best practices and guidelines and age-appropriate order sets to prioritize and integrate care.

—Fred Ko, MD, MS

References

1. Hashmi A, Ibrahim-Zada I, Rhee P, et al. Predictors of mortality in geriatric trauma patients: a systematic review and meta-analysis. J Trauma Acute Care Surg. 2014;76(3):894-901. doi:10.1097/TA.0b013e3182ab0763

2. Hopewell S, Adedire O, Copsey BJ, et al. Multifactorial and multiple component interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2018;7(7):CD012221. doi:10.1002/14651858.CD012221.pub2

3. Joseph B, Pandit V, Zangbar B, et al. Superiority of frailty over age in predicting outcomes among geriatric trauma patients: a prospective analysis. JAMA Surg. 2014;149(8):766-772. doi:10.1001/jamasurg.2014.296

4. Hopkins SA, Bentley A, Phillips V, Barclay S. Advance care plans and hospitalized frail older adults: a systematic review. BMJ Support Palliat Care. 2020;10(2):164-174. doi:10.1136/bmjspcare-2019-002093

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Study 1 Overview (Park et al)

Objective: To examine whether implementation of a geriatric trauma clinical pathway is associated with reduced rates of delirium in older adults with traumatic injury.

Design: Retrospective case-control study of electronic health records.

Setting and participants: Eligible patients were persons aged 65 years or older who were admitted to the trauma service and did not undergo an operation. A Geriatric Trauma Care Pathway was developed by a multidisciplinary Stanford Quality Pathways team and formally launched on November 1, 2018. The clinical pathway was designed to incorporate geriatric best practices, which included order sets (eg, age-appropriate nonpharmacological interventions and pharmacological dosages), guidelines (eg, Institute for Healthcare Improvement Age-Friendly Health systems 4M framework), automated consultations (comprehensive geriatric assessment), and escalation pathways executed by a multidisciplinary team (eg, pain, bowel, and sleep regulation). The clinical pathway began with admission to the emergency department (ED) (ie, automatic trigger of geriatric trauma care admission order set), daily multidisciplinary team meetings during acute hospitalization, and a transitional care team consultation for postdischarge follow-up or home visit.

Main outcome measures: The primary outcome was delirium as determined by a positive Confusion Assessment Method (CAM) score or a diagnosis of delirium by the clinical team. The secondary outcome was hospital length of stay (LOS). Process measures for pathway compliance (eg, achieving adequate pain control, early mobilization, advance care planning) were assessed. Outcome measures were compared between patients who underwent the Geriatric Trauma Care Pathway intervention (postimplementation group) vs patients who were treated prior to pathway implementation (baseline pre-implementation group).

Main results: Of the 859 eligible patients, 712 were included in the analysis (442 [62.1%] in the baseline pre-implementation group and 270 [37.9%] in the postimplementation group); mean (SD) age was 81.4 (9.1) years, and 394 (55.3%) were women. The injury mechanism was similar between groups, with falls being the most common cause of injury (247 [55.9%] in the baseline group vs 162 [60.0%] in the postimplementation group; P = .43). Injuries as measured by Injury Severity Score (ISS) were minor or moderate in both groups (261 [59.0%] in baseline group vs 168 [62.2%] in postimplementation group; P = .87). The adjusted odds ratio (OR) for delirium in the postimplementation group was lower compared to the baseline pre-implementation group (OR, 0.54; 95% CI, 0.37-0.80; P < .001). Measures of advance care planning in the postimplementation group improved, including more frequent goals-of-care documentation (53.7% in postimplementation group vs 16.7% in baseline group; P < .001) and a shortened time to first goals-of-care discussion upon presenting to the ED (36 hours in postimplementation group vs 50 hours in baseline group; P = .03).

Conclusion: Implementation of a multidisciplinary geriatric trauma clinical pathway for older adults with traumatic injury at a single level I trauma center was associated with reduced rates of delirium.

Study 2 Overview (Bryant et al)

Objective: To determine whether an interdisciplinary care pathway for frail trauma patients can improve in-hospital mortality, complications, and 30-day readmissions.

Design: Retrospective cohort study of frail patients.

Setting and participants: Eligible patients were persons aged 65 years or older who were admitted to the trauma service and survived more than 24 hours; admitted to and discharged from the trauma unit; and determined to be pre-frail or frail by a geriatrician’s assessment. A Frailty Identification and Care Pathway designed to reduce delirium and complications in frail older trauma patients was developed by a multidisciplinary team and implemented in 2016. The standardized evidence-based interdisciplinary care pathway included utilization of order sets and interventions for delirium prevention, early ambulation, bowel and pain regimens, nutrition and physical therapy consults, medication management, care-goal setting, and geriatric assessments.

Main outcome measures: The main outcomes were delirium as determined by a positive CAM score, major complications as defined by the Trauma Quality Improvement Project, in-hospital mortality, and 30-day hospital readmission. Outcome measures were compared between patients who underwent Frailty Identification and Care Pathway intervention (postintervention group) vs patients who were treated prior to pathway implementation (pre-intervention group).

Main results: A total of 269 frail patients were included in the analysis (125 in pre-intervention group vs 144 in postintervention group). Patient demographic and admission characteristics were similar between the 2 groups: mean age was 83.5 (7.1) years, 60.6% were women, and median ISS was 10 (interquartile range [IQR], 9-14). The injury mechanism was similar between groups, with falls accounting for 92.8% and 86.1% of injuries in the pre-intervention and postintervention groups, respectively (P = .07). In univariate analysis, the Frailty Identification and Care Pathway intervention was associated with a significant reduction in delirium (12.5% vs 21.6%, P = .04) and 30-day hospital readmission (2.7% vs 9.6%, P = .01) compared to patients in the pre-intervention group. However, rates of major complications (28.5% vs 28.0%, P = 0.93) and in-hospital mortality (4.2% vs 7.2%, P = .28) were similar between the pre-intervention and postintervention groups. In multivariate logistic regression models adjusted for patient characteristics (age, sex, race, ISS), patients in the postintervention group had lower delirium (OR, 0.44; 95% CI, 0.22-0.88; P = .02) and 30-day hospital readmission (OR, 0.25; 95% CI, 0.07-0.84; P = .02) rates compared to those in the pre-intervention group.

Conclusion: Implementation of an interdisciplinary care protocol for frail geriatric trauma patients significantly decreased their risks for in-hospital delirium and 30-day hospital readmission.

 

 

Commentary

Traumatic injuries in older adults are associated with higher morbidity and mortality compared to younger patients, with falls and motor vehicle accidents accounting for a majority of these injuries. Astoundingly, up to one-third of this vulnerable population presenting to hospitals with an ISS greater than 15 may die during hospitalization.1 As a result, a large number of studies and clinical trials have focused on interventions that are designed to reduce fall risks, and hence reduce adverse consequences of traumatic injuries that may arise after falls.2 However, this emphasis on falls prevention has overshadowed a need to develop effective geriatric-centered clinical interventions that aim to improve outcomes in older adults who present to hospitals with traumatic injuries. Furthermore, frailty—a geriatric syndrome indicative of an increased state of vulnerability and predictive of adverse outcomes such as delirium—is highly prevalent in older patients with traumatic injury.3 Thus, there is an urgent need to develop novel, hospital-based, traumatic injury–targeting strategies that incorporate a thoughtful redesign of the care framework that includes evidence-based interventions for geriatric syndromes such as delirium and frailty.

The study reported by Park et al (Study 1) represents the latest effort to evaluate inpatient management strategies designed to improve outcomes in hospitalized older adults who have sustained traumatic injury. Through the implementation of a novel multidisciplinary Geriatric Trauma Care Pathway that incorporates geriatric best practices, this intervention was found to be associated with a 46% lower risk of in-hospital delirium. Because of the inclusion of all age-eligible patients across all strata of traumatic injuries, rather than preselecting for those at the highest risk for poor clinical outcomes, the benefits of this intervention extend to those with minor or moderate injury severity. Furthermore, the improvement in delirium (ie, the primary outcome) is particularly meaningful given that delirium is one of the most common hospital-associated complications that increase hospital LOS, discharge to an institution, and mortality in older adults. Finally, the study’s observed reduced time to a first goals-of-care discussion and increased frequency of goals-of-care documentation after intervention should not be overlooked. The improvements in these 2 process measures are highly significant given that advanced care planning, an intervention that helps to align patients’ values, goals, and treatments, is completed at substantially lower rates in older adults in the acute hospital setting.4

Similarly, in an earlier published study, Bryant and colleagues (Study 2) also show that a geriatric-focused interdisciplinary trauma care pathway is associated with delirium risk reduction in hospitalized older trauma patients. Much like Study 1, the Frailty Identification and Care Pathway utilized in Study 2 is an evidence-based interdisciplinary care pathway that includes the use of geriatric assessments, order sets, and geriatric best practices. Moreover, its exclusive inclusion of pre-frail and frail older patients (ie, those at higher risk for poor outcomes) with moderate injury severity (median ISS of 10 [IQR, 9-14]) suggests that this type of care pathway benefits hospitalized older trauma patients, who are particularly vulnerable to adverse complications such as delirium. Moreover, the successful utilization of the FRAIL questionnaire, a validated frailty screening tool, by surgical residents in the ED to initiate this care pathway demonstrates the feasibility of its use in expediting frailty screening in older patients in trauma care.

 

 

Application for Clinical Practice and System Implementation

Findings from the 2 studies discussed in this review indicate that implementation of interdisciplinary clinical care pathways predicated on evidence-based geriatric principles and best practices is a promising approach to reduce delirium in hospitalized older trauma patients. These studies have helped to lay the groundwork in outlining the roadmaps (eg, processes and infrastructures) needed to create such clinical pathways. These key elements include: (1) integration of a multidisciplinary committee (eg, representation from trauma, emergency, and geriatric medicine, nursing, physical and occupational therapy, pharmacy, social work) in pathway design and implementation; (2) adaption of evidence-based geriatric best practices (eg, the Institute for Healthcare Improvement Age-Friendly Health System 4M framework [medication, mentation, mobility, what matters]) to prioritize interventions and to design a pathway that incorporates these features; (3) incorporation of comprehensive geriatric assessment by interdisciplinary providers; (4) utilization of validated clinical instruments to assess physical and cognitive functions, frailty, delirium, and social determinants of health; (5) modification of electronic health record systems to encompass order sets that incorporate evidence-based, nonpharmacological and pharmacological interventions to manage symptoms (eg, delirium, pain, bowel movement, sleep, immobility, polypharmacy) essential to quality geriatric care; and (6) integration of patient and caregiver preferences via goals-of-care discussions and corresponding documentation and communication of these goals.

Additionally, these 2 studies imparted some strategies that may facilitate the implementation of interdisciplinary clinical care pathways in trauma care. Examples of such facilitators include: (1) collaboration with champions within each specialty to reinforce education and buy-in; (2) creation of automatically triggered order sets upon patient presentation to the ED that unites distinct features of clinical pathways; (3) adaption and reorganization of existing hospital infrastructures and resources to meet the needs of clinical pathways implementation (eg, utilizing information technology resources to develop electronic health record order sets; using quality department to develop clinical pathway guidelines and electronic outcome dashboards); and (4) development of individualized patient and caregiver education materials based on care needs (eg, principles of delirium prevention and preservation of mobility during hospitalization) to prepare and engage these stakeholders in patient care and recovery.

Practice Points

  • A geriatric interdisciplinary care model can be effectively applied to the management of acute trauma in older patients.
  • Interdisciplinary clinical pathways should incorporate geriatric best practices and guidelines and age-appropriate order sets to prioritize and integrate care.

—Fred Ko, MD, MS

Study 1 Overview (Park et al)

Objective: To examine whether implementation of a geriatric trauma clinical pathway is associated with reduced rates of delirium in older adults with traumatic injury.

Design: Retrospective case-control study of electronic health records.

Setting and participants: Eligible patients were persons aged 65 years or older who were admitted to the trauma service and did not undergo an operation. A Geriatric Trauma Care Pathway was developed by a multidisciplinary Stanford Quality Pathways team and formally launched on November 1, 2018. The clinical pathway was designed to incorporate geriatric best practices, which included order sets (eg, age-appropriate nonpharmacological interventions and pharmacological dosages), guidelines (eg, Institute for Healthcare Improvement Age-Friendly Health systems 4M framework), automated consultations (comprehensive geriatric assessment), and escalation pathways executed by a multidisciplinary team (eg, pain, bowel, and sleep regulation). The clinical pathway began with admission to the emergency department (ED) (ie, automatic trigger of geriatric trauma care admission order set), daily multidisciplinary team meetings during acute hospitalization, and a transitional care team consultation for postdischarge follow-up or home visit.

Main outcome measures: The primary outcome was delirium as determined by a positive Confusion Assessment Method (CAM) score or a diagnosis of delirium by the clinical team. The secondary outcome was hospital length of stay (LOS). Process measures for pathway compliance (eg, achieving adequate pain control, early mobilization, advance care planning) were assessed. Outcome measures were compared between patients who underwent the Geriatric Trauma Care Pathway intervention (postimplementation group) vs patients who were treated prior to pathway implementation (baseline pre-implementation group).

Main results: Of the 859 eligible patients, 712 were included in the analysis (442 [62.1%] in the baseline pre-implementation group and 270 [37.9%] in the postimplementation group); mean (SD) age was 81.4 (9.1) years, and 394 (55.3%) were women. The injury mechanism was similar between groups, with falls being the most common cause of injury (247 [55.9%] in the baseline group vs 162 [60.0%] in the postimplementation group; P = .43). Injuries as measured by Injury Severity Score (ISS) were minor or moderate in both groups (261 [59.0%] in baseline group vs 168 [62.2%] in postimplementation group; P = .87). The adjusted odds ratio (OR) for delirium in the postimplementation group was lower compared to the baseline pre-implementation group (OR, 0.54; 95% CI, 0.37-0.80; P < .001). Measures of advance care planning in the postimplementation group improved, including more frequent goals-of-care documentation (53.7% in postimplementation group vs 16.7% in baseline group; P < .001) and a shortened time to first goals-of-care discussion upon presenting to the ED (36 hours in postimplementation group vs 50 hours in baseline group; P = .03).

Conclusion: Implementation of a multidisciplinary geriatric trauma clinical pathway for older adults with traumatic injury at a single level I trauma center was associated with reduced rates of delirium.

Study 2 Overview (Bryant et al)

Objective: To determine whether an interdisciplinary care pathway for frail trauma patients can improve in-hospital mortality, complications, and 30-day readmissions.

Design: Retrospective cohort study of frail patients.

Setting and participants: Eligible patients were persons aged 65 years or older who were admitted to the trauma service and survived more than 24 hours; admitted to and discharged from the trauma unit; and determined to be pre-frail or frail by a geriatrician’s assessment. A Frailty Identification and Care Pathway designed to reduce delirium and complications in frail older trauma patients was developed by a multidisciplinary team and implemented in 2016. The standardized evidence-based interdisciplinary care pathway included utilization of order sets and interventions for delirium prevention, early ambulation, bowel and pain regimens, nutrition and physical therapy consults, medication management, care-goal setting, and geriatric assessments.

Main outcome measures: The main outcomes were delirium as determined by a positive CAM score, major complications as defined by the Trauma Quality Improvement Project, in-hospital mortality, and 30-day hospital readmission. Outcome measures were compared between patients who underwent Frailty Identification and Care Pathway intervention (postintervention group) vs patients who were treated prior to pathway implementation (pre-intervention group).

Main results: A total of 269 frail patients were included in the analysis (125 in pre-intervention group vs 144 in postintervention group). Patient demographic and admission characteristics were similar between the 2 groups: mean age was 83.5 (7.1) years, 60.6% were women, and median ISS was 10 (interquartile range [IQR], 9-14). The injury mechanism was similar between groups, with falls accounting for 92.8% and 86.1% of injuries in the pre-intervention and postintervention groups, respectively (P = .07). In univariate analysis, the Frailty Identification and Care Pathway intervention was associated with a significant reduction in delirium (12.5% vs 21.6%, P = .04) and 30-day hospital readmission (2.7% vs 9.6%, P = .01) compared to patients in the pre-intervention group. However, rates of major complications (28.5% vs 28.0%, P = 0.93) and in-hospital mortality (4.2% vs 7.2%, P = .28) were similar between the pre-intervention and postintervention groups. In multivariate logistic regression models adjusted for patient characteristics (age, sex, race, ISS), patients in the postintervention group had lower delirium (OR, 0.44; 95% CI, 0.22-0.88; P = .02) and 30-day hospital readmission (OR, 0.25; 95% CI, 0.07-0.84; P = .02) rates compared to those in the pre-intervention group.

Conclusion: Implementation of an interdisciplinary care protocol for frail geriatric trauma patients significantly decreased their risks for in-hospital delirium and 30-day hospital readmission.

 

 

Commentary

Traumatic injuries in older adults are associated with higher morbidity and mortality compared to younger patients, with falls and motor vehicle accidents accounting for a majority of these injuries. Astoundingly, up to one-third of this vulnerable population presenting to hospitals with an ISS greater than 15 may die during hospitalization.1 As a result, a large number of studies and clinical trials have focused on interventions that are designed to reduce fall risks, and hence reduce adverse consequences of traumatic injuries that may arise after falls.2 However, this emphasis on falls prevention has overshadowed a need to develop effective geriatric-centered clinical interventions that aim to improve outcomes in older adults who present to hospitals with traumatic injuries. Furthermore, frailty—a geriatric syndrome indicative of an increased state of vulnerability and predictive of adverse outcomes such as delirium—is highly prevalent in older patients with traumatic injury.3 Thus, there is an urgent need to develop novel, hospital-based, traumatic injury–targeting strategies that incorporate a thoughtful redesign of the care framework that includes evidence-based interventions for geriatric syndromes such as delirium and frailty.

The study reported by Park et al (Study 1) represents the latest effort to evaluate inpatient management strategies designed to improve outcomes in hospitalized older adults who have sustained traumatic injury. Through the implementation of a novel multidisciplinary Geriatric Trauma Care Pathway that incorporates geriatric best practices, this intervention was found to be associated with a 46% lower risk of in-hospital delirium. Because of the inclusion of all age-eligible patients across all strata of traumatic injuries, rather than preselecting for those at the highest risk for poor clinical outcomes, the benefits of this intervention extend to those with minor or moderate injury severity. Furthermore, the improvement in delirium (ie, the primary outcome) is particularly meaningful given that delirium is one of the most common hospital-associated complications that increase hospital LOS, discharge to an institution, and mortality in older adults. Finally, the study’s observed reduced time to a first goals-of-care discussion and increased frequency of goals-of-care documentation after intervention should not be overlooked. The improvements in these 2 process measures are highly significant given that advanced care planning, an intervention that helps to align patients’ values, goals, and treatments, is completed at substantially lower rates in older adults in the acute hospital setting.4

Similarly, in an earlier published study, Bryant and colleagues (Study 2) also show that a geriatric-focused interdisciplinary trauma care pathway is associated with delirium risk reduction in hospitalized older trauma patients. Much like Study 1, the Frailty Identification and Care Pathway utilized in Study 2 is an evidence-based interdisciplinary care pathway that includes the use of geriatric assessments, order sets, and geriatric best practices. Moreover, its exclusive inclusion of pre-frail and frail older patients (ie, those at higher risk for poor outcomes) with moderate injury severity (median ISS of 10 [IQR, 9-14]) suggests that this type of care pathway benefits hospitalized older trauma patients, who are particularly vulnerable to adverse complications such as delirium. Moreover, the successful utilization of the FRAIL questionnaire, a validated frailty screening tool, by surgical residents in the ED to initiate this care pathway demonstrates the feasibility of its use in expediting frailty screening in older patients in trauma care.

 

 

Application for Clinical Practice and System Implementation

Findings from the 2 studies discussed in this review indicate that implementation of interdisciplinary clinical care pathways predicated on evidence-based geriatric principles and best practices is a promising approach to reduce delirium in hospitalized older trauma patients. These studies have helped to lay the groundwork in outlining the roadmaps (eg, processes and infrastructures) needed to create such clinical pathways. These key elements include: (1) integration of a multidisciplinary committee (eg, representation from trauma, emergency, and geriatric medicine, nursing, physical and occupational therapy, pharmacy, social work) in pathway design and implementation; (2) adaption of evidence-based geriatric best practices (eg, the Institute for Healthcare Improvement Age-Friendly Health System 4M framework [medication, mentation, mobility, what matters]) to prioritize interventions and to design a pathway that incorporates these features; (3) incorporation of comprehensive geriatric assessment by interdisciplinary providers; (4) utilization of validated clinical instruments to assess physical and cognitive functions, frailty, delirium, and social determinants of health; (5) modification of electronic health record systems to encompass order sets that incorporate evidence-based, nonpharmacological and pharmacological interventions to manage symptoms (eg, delirium, pain, bowel movement, sleep, immobility, polypharmacy) essential to quality geriatric care; and (6) integration of patient and caregiver preferences via goals-of-care discussions and corresponding documentation and communication of these goals.

Additionally, these 2 studies imparted some strategies that may facilitate the implementation of interdisciplinary clinical care pathways in trauma care. Examples of such facilitators include: (1) collaboration with champions within each specialty to reinforce education and buy-in; (2) creation of automatically triggered order sets upon patient presentation to the ED that unites distinct features of clinical pathways; (3) adaption and reorganization of existing hospital infrastructures and resources to meet the needs of clinical pathways implementation (eg, utilizing information technology resources to develop electronic health record order sets; using quality department to develop clinical pathway guidelines and electronic outcome dashboards); and (4) development of individualized patient and caregiver education materials based on care needs (eg, principles of delirium prevention and preservation of mobility during hospitalization) to prepare and engage these stakeholders in patient care and recovery.

Practice Points

  • A geriatric interdisciplinary care model can be effectively applied to the management of acute trauma in older patients.
  • Interdisciplinary clinical pathways should incorporate geriatric best practices and guidelines and age-appropriate order sets to prioritize and integrate care.

—Fred Ko, MD, MS

References

1. Hashmi A, Ibrahim-Zada I, Rhee P, et al. Predictors of mortality in geriatric trauma patients: a systematic review and meta-analysis. J Trauma Acute Care Surg. 2014;76(3):894-901. doi:10.1097/TA.0b013e3182ab0763

2. Hopewell S, Adedire O, Copsey BJ, et al. Multifactorial and multiple component interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2018;7(7):CD012221. doi:10.1002/14651858.CD012221.pub2

3. Joseph B, Pandit V, Zangbar B, et al. Superiority of frailty over age in predicting outcomes among geriatric trauma patients: a prospective analysis. JAMA Surg. 2014;149(8):766-772. doi:10.1001/jamasurg.2014.296

4. Hopkins SA, Bentley A, Phillips V, Barclay S. Advance care plans and hospitalized frail older adults: a systematic review. BMJ Support Palliat Care. 2020;10(2):164-174. doi:10.1136/bmjspcare-2019-002093

References

1. Hashmi A, Ibrahim-Zada I, Rhee P, et al. Predictors of mortality in geriatric trauma patients: a systematic review and meta-analysis. J Trauma Acute Care Surg. 2014;76(3):894-901. doi:10.1097/TA.0b013e3182ab0763

2. Hopewell S, Adedire O, Copsey BJ, et al. Multifactorial and multiple component interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2018;7(7):CD012221. doi:10.1002/14651858.CD012221.pub2

3. Joseph B, Pandit V, Zangbar B, et al. Superiority of frailty over age in predicting outcomes among geriatric trauma patients: a prospective analysis. JAMA Surg. 2014;149(8):766-772. doi:10.1001/jamasurg.2014.296

4. Hopkins SA, Bentley A, Phillips V, Barclay S. Advance care plans and hospitalized frail older adults: a systematic review. BMJ Support Palliat Care. 2020;10(2):164-174. doi:10.1136/bmjspcare-2019-002093

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CRC screening coverage continuum is complete

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In a huge win for patients, Medicare will begin covering colonoscopies after a positive noninvasive stool test starting in 2023. Medicare was previously the only insurer who did not cover this critical prevention procedure.

This change comes after a year of advocacy led by AGA – including multiple meetings with senior officials at HHS and legislative pressure by members across the country.

“Cost-sharing is a well-recognized barrier to screening and has resulted in disparities. Patients can now engage in CRC screening program and be confident that they will not face unexpected cost-sharing for colonoscopy after a positive noninvasive screening test,” said David Lieberman, MD, AGAF, who met with Centers for Medicare & Medicaid Services officials multiple times to push this policy forward. “AGA knows that increased participation in screening will further reduce the burden of colorectal cancer.”

“This is a win for all patients and should elevate our nation’s screening rates while lowering the overall cancer burden, saving lives. Importantly, the CMS proposed rule changes will lessen colorectal cancer disparities eliminating a financial burden for many patients,” said AGA president John Carethers, MD, AGAF, who met with CMS in early July to advocate for this change.

Thank you to everyone in the GI community who advocated for this important change!

CMS announced the coverage change as part of the 2023 Medicare proposed rule, which was released July 7, 2022. The rule must be finalized this fall before taking effect Jan. 2, 2023.










 

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In a huge win for patients, Medicare will begin covering colonoscopies after a positive noninvasive stool test starting in 2023. Medicare was previously the only insurer who did not cover this critical prevention procedure.

This change comes after a year of advocacy led by AGA – including multiple meetings with senior officials at HHS and legislative pressure by members across the country.

“Cost-sharing is a well-recognized barrier to screening and has resulted in disparities. Patients can now engage in CRC screening program and be confident that they will not face unexpected cost-sharing for colonoscopy after a positive noninvasive screening test,” said David Lieberman, MD, AGAF, who met with Centers for Medicare & Medicaid Services officials multiple times to push this policy forward. “AGA knows that increased participation in screening will further reduce the burden of colorectal cancer.”

“This is a win for all patients and should elevate our nation’s screening rates while lowering the overall cancer burden, saving lives. Importantly, the CMS proposed rule changes will lessen colorectal cancer disparities eliminating a financial burden for many patients,” said AGA president John Carethers, MD, AGAF, who met with CMS in early July to advocate for this change.

Thank you to everyone in the GI community who advocated for this important change!

CMS announced the coverage change as part of the 2023 Medicare proposed rule, which was released July 7, 2022. The rule must be finalized this fall before taking effect Jan. 2, 2023.










 

In a huge win for patients, Medicare will begin covering colonoscopies after a positive noninvasive stool test starting in 2023. Medicare was previously the only insurer who did not cover this critical prevention procedure.

This change comes after a year of advocacy led by AGA – including multiple meetings with senior officials at HHS and legislative pressure by members across the country.

“Cost-sharing is a well-recognized barrier to screening and has resulted in disparities. Patients can now engage in CRC screening program and be confident that they will not face unexpected cost-sharing for colonoscopy after a positive noninvasive screening test,” said David Lieberman, MD, AGAF, who met with Centers for Medicare & Medicaid Services officials multiple times to push this policy forward. “AGA knows that increased participation in screening will further reduce the burden of colorectal cancer.”

“This is a win for all patients and should elevate our nation’s screening rates while lowering the overall cancer burden, saving lives. Importantly, the CMS proposed rule changes will lessen colorectal cancer disparities eliminating a financial burden for many patients,” said AGA president John Carethers, MD, AGAF, who met with CMS in early July to advocate for this change.

Thank you to everyone in the GI community who advocated for this important change!

CMS announced the coverage change as part of the 2023 Medicare proposed rule, which was released July 7, 2022. The rule must be finalized this fall before taking effect Jan. 2, 2023.










 

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Don’t let insurance policies burden GI practices

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Join us at AGA Advocacy Day on Thursday, Sept. 22, 2022, to virtually meet with your members of Congress to urge them to rein in insurance policies like prior authorization and step therapy.

If GI providers don’t have a seat at the table and engage with lawmakers, these decisions will be influenced by payers and other parties that do not have your or your patients’ best interests at heart.

AGA Advocacy Day is held shortly before the end of the fiscal year – prime time to educate policymakers and their staff about your everyday challenges and the reality of GI patient care in your state. We will also discuss the need for robust federal funding for GI research and the devastating impact that Medicare cuts could have on your practice.

Register today and AGA will take care of the rest, including scheduling your meetings and providing comprehensive advocacy training. Now more than ever, your voice needs to be heard on Capitol Hill.

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Join us at AGA Advocacy Day on Thursday, Sept. 22, 2022, to virtually meet with your members of Congress to urge them to rein in insurance policies like prior authorization and step therapy.

If GI providers don’t have a seat at the table and engage with lawmakers, these decisions will be influenced by payers and other parties that do not have your or your patients’ best interests at heart.

AGA Advocacy Day is held shortly before the end of the fiscal year – prime time to educate policymakers and their staff about your everyday challenges and the reality of GI patient care in your state. We will also discuss the need for robust federal funding for GI research and the devastating impact that Medicare cuts could have on your practice.

Register today and AGA will take care of the rest, including scheduling your meetings and providing comprehensive advocacy training. Now more than ever, your voice needs to be heard on Capitol Hill.

Join us at AGA Advocacy Day on Thursday, Sept. 22, 2022, to virtually meet with your members of Congress to urge them to rein in insurance policies like prior authorization and step therapy.

If GI providers don’t have a seat at the table and engage with lawmakers, these decisions will be influenced by payers and other parties that do not have your or your patients’ best interests at heart.

AGA Advocacy Day is held shortly before the end of the fiscal year – prime time to educate policymakers and their staff about your everyday challenges and the reality of GI patient care in your state. We will also discuss the need for robust federal funding for GI research and the devastating impact that Medicare cuts could have on your practice.

Register today and AGA will take care of the rest, including scheduling your meetings and providing comprehensive advocacy training. Now more than ever, your voice needs to be heard on Capitol Hill.

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Understanding proposed changes to Medicare payment policies

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On July 7, the Centers for Medicare & Medicaid Services released the calendar year (CY) 2023 Medicare Physician Fee Schedule Proposed Rule and can now be found in the Federal Register.

Good news!

In a win for patients, and thanks to collective advocacy efforts from AGA and partner societies, CMS is proposing to expand the regulatory definition of “colorectal cancer screening tests” and waive cost sharing for a necessary follow-up colonoscopy after a positive stool-based screening test.

Looming cuts 

The rule proposes 4% cuts to Medicare physician reimbursement through required decreases in the conversion factor and expiration of temporary fixes passed by Congress. AGA will continue to work with a coalition of national and state medical societies in urging Congress to prevent these cuts before Jan. 1, 2023.

What to know

  • CMS expands colorectal cancer screening in a proposal to waive cost sharing for a follow-up colonoscopy to a positive stool-based colorectal cancer screening test and to cover the service for individuals 45 years of age and above.
  • Medicare payment cuts are looming with cuts to the proposed CY 2023 conversion factor.
  • Split/shared visits policy delayed until CY 2024.
  • Payment rates for new bariatric device codes proposed.
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On July 7, the Centers for Medicare & Medicaid Services released the calendar year (CY) 2023 Medicare Physician Fee Schedule Proposed Rule and can now be found in the Federal Register.

Good news!

In a win for patients, and thanks to collective advocacy efforts from AGA and partner societies, CMS is proposing to expand the regulatory definition of “colorectal cancer screening tests” and waive cost sharing for a necessary follow-up colonoscopy after a positive stool-based screening test.

Looming cuts 

The rule proposes 4% cuts to Medicare physician reimbursement through required decreases in the conversion factor and expiration of temporary fixes passed by Congress. AGA will continue to work with a coalition of national and state medical societies in urging Congress to prevent these cuts before Jan. 1, 2023.

What to know

  • CMS expands colorectal cancer screening in a proposal to waive cost sharing for a follow-up colonoscopy to a positive stool-based colorectal cancer screening test and to cover the service for individuals 45 years of age and above.
  • Medicare payment cuts are looming with cuts to the proposed CY 2023 conversion factor.
  • Split/shared visits policy delayed until CY 2024.
  • Payment rates for new bariatric device codes proposed.

On July 7, the Centers for Medicare & Medicaid Services released the calendar year (CY) 2023 Medicare Physician Fee Schedule Proposed Rule and can now be found in the Federal Register.

Good news!

In a win for patients, and thanks to collective advocacy efforts from AGA and partner societies, CMS is proposing to expand the regulatory definition of “colorectal cancer screening tests” and waive cost sharing for a necessary follow-up colonoscopy after a positive stool-based screening test.

Looming cuts 

The rule proposes 4% cuts to Medicare physician reimbursement through required decreases in the conversion factor and expiration of temporary fixes passed by Congress. AGA will continue to work with a coalition of national and state medical societies in urging Congress to prevent these cuts before Jan. 1, 2023.

What to know

  • CMS expands colorectal cancer screening in a proposal to waive cost sharing for a follow-up colonoscopy to a positive stool-based colorectal cancer screening test and to cover the service for individuals 45 years of age and above.
  • Medicare payment cuts are looming with cuts to the proposed CY 2023 conversion factor.
  • Split/shared visits policy delayed until CY 2024.
  • Payment rates for new bariatric device codes proposed.
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Job market for physicians, advanced practitioners rebounds after COVID-19 slump: Report

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Mon, 07/25/2022 - 09:11

After a year of uncertainty and decline because of the COVID-19 pandemic, demand for clinicians has rebounded – and the job market for new physicians and advanced practitioners is back to normal, or more accurately “the new normal,” according to a recently released report from Merritt Hawkins, the physician search division of AMN Healthcare.

The study is based on an analysis of job search and consulting assignments that the firm conducted on behalf of its health care organization clients from April 1, 2021, to March 31, 2022.

“Search engagements were down a little over 30% in 2020, but by the end of 2021, everything started spiking dramatically to the point of where we were at a 34-year high,” Michael Belkin, divisional vice president with Merritt Hawkins, told this news organization. “The pendulum has gone all the way back. People are more interested in going out and seeing their physicians.”

Demand for physicians was suppressed during the peak of the pandemic, as many hospitals curtailed elective procedures and many patients refrained from entering a medical facility. A large backlog of patients needing care subsequently developed.

This, combined with an aging population and widespread chronic medical conditions, has caused a strong surge in demand for physicians and advanced practitioners, according to the report.

In addition to the volume of searches increasing, physician starting salaries have rebounded from the COVID-19 downturn.

Average starting salaries of 14 physician specialties tracked in 2021/2022 increased, while only 3 decreased. Orthopedic surgeons were offered an average of $565,000 to start, exclusive of signing bonuses and other incentives, up from $546,000 the previous year. Urologists were offered an average of $510,000 to start, up from $497,000; gastroenterologists were offered $474,000, up from $453,000; while radiologists were offered $455,000, up from $401,000.

Similarly, a recent Medscape study based on responses from more than 13,000 U.S. physicians across 29 specialties found that income for all physician specialists increased, with otolaryngologists, gastroenterologists, and dermatologists experiencing the greatest gains.
 

A new reality

While the job market for physicians and advanced practitioners has seemingly recovered, there are many differences between today’s working environment for clinicians and what existed during the pandemic.

First, specialists are now stepping into the spotlight, a position that primary care clinicians previously held. The majority of Merritt Hawkins’ search engagements (64%) in 2021/2022 were for physician specialists, including cardiologists, gastroenterologists, orthopedic surgeons, neurologists, oncologists, and others. Only 17% of the search engagements were for primary care physicians, down from 18% in 2020/2021 and 20% in 2019/2020.

“We’ve seen specialties bounce back faster. Of course, you’ve got the aging population; you’ve got people that want that specialized care,” Mr. Belkin said.

Advanced practitioners also are playing a more significant role in the postpandemic word. In fact, 19% of Merritt Hawkins’ search engagements were for advanced practitioners, including nurse practitioners (NPs), physician assistants, and certified registered nurse anesthetists, up from 18% the previous year and just 13% the year prior to that, indicating growing demand for nonphysician providers.

NPs, in fact, topped the list of most requested search engagements, underscoring a shift from traditional physician office-based primary care delivery settings toward “convenient care” settings such as urgent care centers and retail clinics that are largely staffed by NPs and other advanced practitioners.

Advanced practitioners are taking on more responsibility for primary care simply because there is a large number of these professionals ready to take on the challenge.

The health care industry was “not able to produce enough primary care physicians over the last decade. So advanced practitioners, I believe, have slowly started to work alongside those primary care physicians. In a lot of areas such as your retail space, your CVS, your Walmart, your Walgreens, your standalone urgent cares, they’ve stepped up,” Mr. Belkin said.

Advanced practitioners also are providing the convenience that consumers are increasingly demanding.

“We are a society that wants things immediately ... but it’s still a challenge to schedule an appointment with a physician. However, it’s less of a challenge to get into a retail clinic or an urgent care center or to schedule something through telehealth,” Mr. Belkin noted.
 

 

 

More than just money

With the job market strong, the challenge for health care organizations is to create competitive recruiting packages. Sure enough, 92% of candidates were offered signing bonuses in 2021/2022 compared with just 61% in 2020/2021.

The financial incentives, however, might not be enough. In this environment, health care organizations need to go beyond simply offering competitive salaries to new recruits. For example, clinicians are seeking flexibility, as many potential hires are seeking remote positions. In fact, 18% of radiology search engagements were for teleradiologists, while 15% of its search engagements for psychiatrists were for telepsychiatrists in 2021/2022.

“Right now, quality of life is a very important factor. It’s work-life balance. It’s sensitivity to the stresses that we just experienced over the last 2.5 years,” Mr. Belkin concluded. “There’s more sensitivity around the culture of the organizations. What’s the leadership like? How did the organization handle the pandemic? How do they respond?”

A version of this article first appeared on Medscape.com.

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After a year of uncertainty and decline because of the COVID-19 pandemic, demand for clinicians has rebounded – and the job market for new physicians and advanced practitioners is back to normal, or more accurately “the new normal,” according to a recently released report from Merritt Hawkins, the physician search division of AMN Healthcare.

The study is based on an analysis of job search and consulting assignments that the firm conducted on behalf of its health care organization clients from April 1, 2021, to March 31, 2022.

“Search engagements were down a little over 30% in 2020, but by the end of 2021, everything started spiking dramatically to the point of where we were at a 34-year high,” Michael Belkin, divisional vice president with Merritt Hawkins, told this news organization. “The pendulum has gone all the way back. People are more interested in going out and seeing their physicians.”

Demand for physicians was suppressed during the peak of the pandemic, as many hospitals curtailed elective procedures and many patients refrained from entering a medical facility. A large backlog of patients needing care subsequently developed.

This, combined with an aging population and widespread chronic medical conditions, has caused a strong surge in demand for physicians and advanced practitioners, according to the report.

In addition to the volume of searches increasing, physician starting salaries have rebounded from the COVID-19 downturn.

Average starting salaries of 14 physician specialties tracked in 2021/2022 increased, while only 3 decreased. Orthopedic surgeons were offered an average of $565,000 to start, exclusive of signing bonuses and other incentives, up from $546,000 the previous year. Urologists were offered an average of $510,000 to start, up from $497,000; gastroenterologists were offered $474,000, up from $453,000; while radiologists were offered $455,000, up from $401,000.

Similarly, a recent Medscape study based on responses from more than 13,000 U.S. physicians across 29 specialties found that income for all physician specialists increased, with otolaryngologists, gastroenterologists, and dermatologists experiencing the greatest gains.
 

A new reality

While the job market for physicians and advanced practitioners has seemingly recovered, there are many differences between today’s working environment for clinicians and what existed during the pandemic.

First, specialists are now stepping into the spotlight, a position that primary care clinicians previously held. The majority of Merritt Hawkins’ search engagements (64%) in 2021/2022 were for physician specialists, including cardiologists, gastroenterologists, orthopedic surgeons, neurologists, oncologists, and others. Only 17% of the search engagements were for primary care physicians, down from 18% in 2020/2021 and 20% in 2019/2020.

“We’ve seen specialties bounce back faster. Of course, you’ve got the aging population; you’ve got people that want that specialized care,” Mr. Belkin said.

Advanced practitioners also are playing a more significant role in the postpandemic word. In fact, 19% of Merritt Hawkins’ search engagements were for advanced practitioners, including nurse practitioners (NPs), physician assistants, and certified registered nurse anesthetists, up from 18% the previous year and just 13% the year prior to that, indicating growing demand for nonphysician providers.

NPs, in fact, topped the list of most requested search engagements, underscoring a shift from traditional physician office-based primary care delivery settings toward “convenient care” settings such as urgent care centers and retail clinics that are largely staffed by NPs and other advanced practitioners.

Advanced practitioners are taking on more responsibility for primary care simply because there is a large number of these professionals ready to take on the challenge.

The health care industry was “not able to produce enough primary care physicians over the last decade. So advanced practitioners, I believe, have slowly started to work alongside those primary care physicians. In a lot of areas such as your retail space, your CVS, your Walmart, your Walgreens, your standalone urgent cares, they’ve stepped up,” Mr. Belkin said.

Advanced practitioners also are providing the convenience that consumers are increasingly demanding.

“We are a society that wants things immediately ... but it’s still a challenge to schedule an appointment with a physician. However, it’s less of a challenge to get into a retail clinic or an urgent care center or to schedule something through telehealth,” Mr. Belkin noted.
 

 

 

More than just money

With the job market strong, the challenge for health care organizations is to create competitive recruiting packages. Sure enough, 92% of candidates were offered signing bonuses in 2021/2022 compared with just 61% in 2020/2021.

The financial incentives, however, might not be enough. In this environment, health care organizations need to go beyond simply offering competitive salaries to new recruits. For example, clinicians are seeking flexibility, as many potential hires are seeking remote positions. In fact, 18% of radiology search engagements were for teleradiologists, while 15% of its search engagements for psychiatrists were for telepsychiatrists in 2021/2022.

“Right now, quality of life is a very important factor. It’s work-life balance. It’s sensitivity to the stresses that we just experienced over the last 2.5 years,” Mr. Belkin concluded. “There’s more sensitivity around the culture of the organizations. What’s the leadership like? How did the organization handle the pandemic? How do they respond?”

A version of this article first appeared on Medscape.com.

After a year of uncertainty and decline because of the COVID-19 pandemic, demand for clinicians has rebounded – and the job market for new physicians and advanced practitioners is back to normal, or more accurately “the new normal,” according to a recently released report from Merritt Hawkins, the physician search division of AMN Healthcare.

The study is based on an analysis of job search and consulting assignments that the firm conducted on behalf of its health care organization clients from April 1, 2021, to March 31, 2022.

“Search engagements were down a little over 30% in 2020, but by the end of 2021, everything started spiking dramatically to the point of where we were at a 34-year high,” Michael Belkin, divisional vice president with Merritt Hawkins, told this news organization. “The pendulum has gone all the way back. People are more interested in going out and seeing their physicians.”

Demand for physicians was suppressed during the peak of the pandemic, as many hospitals curtailed elective procedures and many patients refrained from entering a medical facility. A large backlog of patients needing care subsequently developed.

This, combined with an aging population and widespread chronic medical conditions, has caused a strong surge in demand for physicians and advanced practitioners, according to the report.

In addition to the volume of searches increasing, physician starting salaries have rebounded from the COVID-19 downturn.

Average starting salaries of 14 physician specialties tracked in 2021/2022 increased, while only 3 decreased. Orthopedic surgeons were offered an average of $565,000 to start, exclusive of signing bonuses and other incentives, up from $546,000 the previous year. Urologists were offered an average of $510,000 to start, up from $497,000; gastroenterologists were offered $474,000, up from $453,000; while radiologists were offered $455,000, up from $401,000.

Similarly, a recent Medscape study based on responses from more than 13,000 U.S. physicians across 29 specialties found that income for all physician specialists increased, with otolaryngologists, gastroenterologists, and dermatologists experiencing the greatest gains.
 

A new reality

While the job market for physicians and advanced practitioners has seemingly recovered, there are many differences between today’s working environment for clinicians and what existed during the pandemic.

First, specialists are now stepping into the spotlight, a position that primary care clinicians previously held. The majority of Merritt Hawkins’ search engagements (64%) in 2021/2022 were for physician specialists, including cardiologists, gastroenterologists, orthopedic surgeons, neurologists, oncologists, and others. Only 17% of the search engagements were for primary care physicians, down from 18% in 2020/2021 and 20% in 2019/2020.

“We’ve seen specialties bounce back faster. Of course, you’ve got the aging population; you’ve got people that want that specialized care,” Mr. Belkin said.

Advanced practitioners also are playing a more significant role in the postpandemic word. In fact, 19% of Merritt Hawkins’ search engagements were for advanced practitioners, including nurse practitioners (NPs), physician assistants, and certified registered nurse anesthetists, up from 18% the previous year and just 13% the year prior to that, indicating growing demand for nonphysician providers.

NPs, in fact, topped the list of most requested search engagements, underscoring a shift from traditional physician office-based primary care delivery settings toward “convenient care” settings such as urgent care centers and retail clinics that are largely staffed by NPs and other advanced practitioners.

Advanced practitioners are taking on more responsibility for primary care simply because there is a large number of these professionals ready to take on the challenge.

The health care industry was “not able to produce enough primary care physicians over the last decade. So advanced practitioners, I believe, have slowly started to work alongside those primary care physicians. In a lot of areas such as your retail space, your CVS, your Walmart, your Walgreens, your standalone urgent cares, they’ve stepped up,” Mr. Belkin said.

Advanced practitioners also are providing the convenience that consumers are increasingly demanding.

“We are a society that wants things immediately ... but it’s still a challenge to schedule an appointment with a physician. However, it’s less of a challenge to get into a retail clinic or an urgent care center or to schedule something through telehealth,” Mr. Belkin noted.
 

 

 

More than just money

With the job market strong, the challenge for health care organizations is to create competitive recruiting packages. Sure enough, 92% of candidates were offered signing bonuses in 2021/2022 compared with just 61% in 2020/2021.

The financial incentives, however, might not be enough. In this environment, health care organizations need to go beyond simply offering competitive salaries to new recruits. For example, clinicians are seeking flexibility, as many potential hires are seeking remote positions. In fact, 18% of radiology search engagements were for teleradiologists, while 15% of its search engagements for psychiatrists were for telepsychiatrists in 2021/2022.

“Right now, quality of life is a very important factor. It’s work-life balance. It’s sensitivity to the stresses that we just experienced over the last 2.5 years,” Mr. Belkin concluded. “There’s more sensitivity around the culture of the organizations. What’s the leadership like? How did the organization handle the pandemic? How do they respond?”

A version of this article first appeared on Medscape.com.

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What are your weaknesses?

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In a video posted to TikTok by the comedian Will Flanary, MD, better known to his followers as Dr. Glaucomflecken, he imitates a neurosurgical residency interview. With glasses perched on the bridge of his nose, Dr. Glaucomflecken poses as the attending, asking: “What are your weaknesses?”

The residency applicant answers without hesitation: “My physiological need for sleep.” “What are your strengths?” The resident replies with the hard, steely stare of the determined and uninitiated: “My desire to eliminate my physiological need for sleep.”

If you follow Dr. Glaucomflecken on Twitter, you might know the skit I’m referencing. For many physicians and physicians-in-training, what makes the satire successful is its reflection of reality.

Many things have changed in medicine since his time, but the tired trope of the sleepless surgeon hangs on. Undaunted, I spent my second and third year of medical school accumulating accolades, conducting research, and connecting with mentors with the singular goal of joining the surgical ranks.

Midway through my third year, I completed a month-long surgical subinternship designed to give students a taste of what life would look like as an intern. I loved the operating room; it felt like the difference between being on dry land and being underwater. There were fewer distractions – your patient in the spotlight while everything else receded to the shadows.

However, as the month wore on, something stronger took hold. I couldn’t keep my eyes open in the darkened operating rooms and had to decline stools, fearing that I would fall asleep if I sat down.

On early morning prerounds, it’s 4:50 a.m. when I glance at the clock and pull back the curtain, already apologizing. My patient rolls over, flashing a wry smile. “Do you ever go home?” I’ve seen residents respond to this exact question in various ways. I live here. Yes. No. Soon. Not enough. My partner doesn’t think so.

There are days and, yes, years when we are led to believe this is what we live for: to be constantly available to our patients. It feels like a hollow victory when the patient, 2 days out from a total colectomy, begins to worry about your personal life. I ask her how she slept (not enough), any fevers (no), vomiting (no), urinating (I pause – she has a catheter).

My favorite part of these early morning rounds is the pause in my scripted litany of questions to listen to heart and lungs. It never fails to feel sacred: Patients become so quiet and still that I can’t help but think they have faith in me. Without prompting, she slides the back of her hospital gown forward like a curtain, already taking deep breaths so I can hear her lungs.

I look outside. The streetlights are still on, and from the seventh-floor window, I can watch staff making their way through the sliding double-doors, just beyond the yellowed pools of streetlight. I smile. I love medicine. I’m so tired.

For many in medicine, we are treated, and thus behave, as though our ability to manipulate physiology should also apply within the borders of our bodies: commanding less sleep, food, or bathroom breaks.

It places health care workers solidly in the realm of superhuman, living beyond one’s corporeal needs. The pandemic only heightened this misappropriation – adding hero and setting out a pedestal for health care workers to make their ungainly ascent. This kind of unsolicited admiration implicitly implies inhumanness, an otherness.

What would it look like if we started treating ourselves less like physicians and more like patients? I wish I was offering a solution, but really this is just a story. Maybe it’s not more sleep you need but something just as critical to the delicate physiologic and psychological scales of well-being.

To students rising through the ranks of medical training, identify what it is you need early and often. I can count on one hand how many physicians I’ve seen take a lunch break – even 10 minutes. Embrace hard work and self-preservation equally. My hope is that if enough of us take this path, it just might become a matter of course.

Dr. Meffert is a resident in the department of emergency medicine, MedStar Georgetown University Hospital, Washington Hospital Center, Washington. Dr. Meffert disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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In a video posted to TikTok by the comedian Will Flanary, MD, better known to his followers as Dr. Glaucomflecken, he imitates a neurosurgical residency interview. With glasses perched on the bridge of his nose, Dr. Glaucomflecken poses as the attending, asking: “What are your weaknesses?”

The residency applicant answers without hesitation: “My physiological need for sleep.” “What are your strengths?” The resident replies with the hard, steely stare of the determined and uninitiated: “My desire to eliminate my physiological need for sleep.”

If you follow Dr. Glaucomflecken on Twitter, you might know the skit I’m referencing. For many physicians and physicians-in-training, what makes the satire successful is its reflection of reality.

Many things have changed in medicine since his time, but the tired trope of the sleepless surgeon hangs on. Undaunted, I spent my second and third year of medical school accumulating accolades, conducting research, and connecting with mentors with the singular goal of joining the surgical ranks.

Midway through my third year, I completed a month-long surgical subinternship designed to give students a taste of what life would look like as an intern. I loved the operating room; it felt like the difference between being on dry land and being underwater. There were fewer distractions – your patient in the spotlight while everything else receded to the shadows.

However, as the month wore on, something stronger took hold. I couldn’t keep my eyes open in the darkened operating rooms and had to decline stools, fearing that I would fall asleep if I sat down.

On early morning prerounds, it’s 4:50 a.m. when I glance at the clock and pull back the curtain, already apologizing. My patient rolls over, flashing a wry smile. “Do you ever go home?” I’ve seen residents respond to this exact question in various ways. I live here. Yes. No. Soon. Not enough. My partner doesn’t think so.

There are days and, yes, years when we are led to believe this is what we live for: to be constantly available to our patients. It feels like a hollow victory when the patient, 2 days out from a total colectomy, begins to worry about your personal life. I ask her how she slept (not enough), any fevers (no), vomiting (no), urinating (I pause – she has a catheter).

My favorite part of these early morning rounds is the pause in my scripted litany of questions to listen to heart and lungs. It never fails to feel sacred: Patients become so quiet and still that I can’t help but think they have faith in me. Without prompting, she slides the back of her hospital gown forward like a curtain, already taking deep breaths so I can hear her lungs.

I look outside. The streetlights are still on, and from the seventh-floor window, I can watch staff making their way through the sliding double-doors, just beyond the yellowed pools of streetlight. I smile. I love medicine. I’m so tired.

For many in medicine, we are treated, and thus behave, as though our ability to manipulate physiology should also apply within the borders of our bodies: commanding less sleep, food, or bathroom breaks.

It places health care workers solidly in the realm of superhuman, living beyond one’s corporeal needs. The pandemic only heightened this misappropriation – adding hero and setting out a pedestal for health care workers to make their ungainly ascent. This kind of unsolicited admiration implicitly implies inhumanness, an otherness.

What would it look like if we started treating ourselves less like physicians and more like patients? I wish I was offering a solution, but really this is just a story. Maybe it’s not more sleep you need but something just as critical to the delicate physiologic and psychological scales of well-being.

To students rising through the ranks of medical training, identify what it is you need early and often. I can count on one hand how many physicians I’ve seen take a lunch break – even 10 minutes. Embrace hard work and self-preservation equally. My hope is that if enough of us take this path, it just might become a matter of course.

Dr. Meffert is a resident in the department of emergency medicine, MedStar Georgetown University Hospital, Washington Hospital Center, Washington. Dr. Meffert disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

In a video posted to TikTok by the comedian Will Flanary, MD, better known to his followers as Dr. Glaucomflecken, he imitates a neurosurgical residency interview. With glasses perched on the bridge of his nose, Dr. Glaucomflecken poses as the attending, asking: “What are your weaknesses?”

The residency applicant answers without hesitation: “My physiological need for sleep.” “What are your strengths?” The resident replies with the hard, steely stare of the determined and uninitiated: “My desire to eliminate my physiological need for sleep.”

If you follow Dr. Glaucomflecken on Twitter, you might know the skit I’m referencing. For many physicians and physicians-in-training, what makes the satire successful is its reflection of reality.

Many things have changed in medicine since his time, but the tired trope of the sleepless surgeon hangs on. Undaunted, I spent my second and third year of medical school accumulating accolades, conducting research, and connecting with mentors with the singular goal of joining the surgical ranks.

Midway through my third year, I completed a month-long surgical subinternship designed to give students a taste of what life would look like as an intern. I loved the operating room; it felt like the difference between being on dry land and being underwater. There were fewer distractions – your patient in the spotlight while everything else receded to the shadows.

However, as the month wore on, something stronger took hold. I couldn’t keep my eyes open in the darkened operating rooms and had to decline stools, fearing that I would fall asleep if I sat down.

On early morning prerounds, it’s 4:50 a.m. when I glance at the clock and pull back the curtain, already apologizing. My patient rolls over, flashing a wry smile. “Do you ever go home?” I’ve seen residents respond to this exact question in various ways. I live here. Yes. No. Soon. Not enough. My partner doesn’t think so.

There are days and, yes, years when we are led to believe this is what we live for: to be constantly available to our patients. It feels like a hollow victory when the patient, 2 days out from a total colectomy, begins to worry about your personal life. I ask her how she slept (not enough), any fevers (no), vomiting (no), urinating (I pause – she has a catheter).

My favorite part of these early morning rounds is the pause in my scripted litany of questions to listen to heart and lungs. It never fails to feel sacred: Patients become so quiet and still that I can’t help but think they have faith in me. Without prompting, she slides the back of her hospital gown forward like a curtain, already taking deep breaths so I can hear her lungs.

I look outside. The streetlights are still on, and from the seventh-floor window, I can watch staff making their way through the sliding double-doors, just beyond the yellowed pools of streetlight. I smile. I love medicine. I’m so tired.

For many in medicine, we are treated, and thus behave, as though our ability to manipulate physiology should also apply within the borders of our bodies: commanding less sleep, food, or bathroom breaks.

It places health care workers solidly in the realm of superhuman, living beyond one’s corporeal needs. The pandemic only heightened this misappropriation – adding hero and setting out a pedestal for health care workers to make their ungainly ascent. This kind of unsolicited admiration implicitly implies inhumanness, an otherness.

What would it look like if we started treating ourselves less like physicians and more like patients? I wish I was offering a solution, but really this is just a story. Maybe it’s not more sleep you need but something just as critical to the delicate physiologic and psychological scales of well-being.

To students rising through the ranks of medical training, identify what it is you need early and often. I can count on one hand how many physicians I’ve seen take a lunch break – even 10 minutes. Embrace hard work and self-preservation equally. My hope is that if enough of us take this path, it just might become a matter of course.

Dr. Meffert is a resident in the department of emergency medicine, MedStar Georgetown University Hospital, Washington Hospital Center, Washington. Dr. Meffert disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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The testing we order should help, not hurt

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The testing we order should help, not hurt

Ordering and interpreting tests is at the heart of what we do as family physicians. Ordering tests judiciously and interpreting them accurately is not easy. The Choosing Wisely campaign1 has focused our attention on the need to think carefully before ordering tests, whether they be laboratory tests or imaging. Before ordering any test, one should always ask: Is the result of this test going to help me make better decisions about managing this patient?

I would like to highlight and expand on 2 problematic issues Kaminski and Venkat raise in their excellent article on testing in this issue of JFP.2

One should always ask: Is the result of this test going to help me make better decisions?

First, they advise us to know the pretest probability of a disease before we order a test. If we order a test on a patient for whom the probability of disease is very low, a positive result is likely to be a false-positive and mislead us into thinking the patient has the disease when he does not. If we order a test for a patient with a high probability of disease and the result is negative, there is great danger of a false-­negative. We might think the patient does not have the disease, but she does.

There is a deeper problem here, however. Primary care physicians are notorious for overestimating disease probability. In a recent study, primary care clinicians overestimated the pretest probability of disease 2- to 10-fold in scenarios involving 4 common diagnoses: breast cancer, coronary artery disease (CAD), pneumonia, and urinary tract infection.3 Even after receiving a negative test result, clinicians still overestimated the chance of disease in all the scenarios. For example, when presented with a 43-year-old premenopausal woman with atypical chest pain and a normal electrocardiogram, clinicians’ average estimate of the probability of CAD was 10%—considerably higher than true estimates of 1% to 4.4%.3

To improve your accuracy in judging pretest probabilities, see the diagnostic test calculators in Essential Evidence Plus (www.essentialevidenceplus.com/).

Secondly, Kaminski and Venkat advise us to try to avoid the testing cascade.2 The associated dangers to patients are considerable. For a cautionary tale, I recommend you read the essay by Michael B. Rothberg, MD, MPH, called “The $50,000 Physical”.4 Dr. Rothberg describes the testing cascade his 85-year-old father experienced, which led to a liver biopsy that nearly killed him from post-biopsy bleeding. Always remember: Testing is a double-edged sword. It can help—or harm—your patients.

References

1. American Board of Internal Medicine Foundation. Choosing Wisely. Accessed June 30, 2022. www.choosingwisely.org/

2. Kaminski M, Venkat N. A judicious approach to ordering lab tests. J Fam Pract. 2022;71:245-250. doi: 10.12788/jfp.0444

3. Morgan DJ, Pineles L, Owczarzak J, et al. Accuracy of practitioner estimates of probability of diagnosis before and after testing. JAMA Intern Med. 2021;181:747-755. doi: 10.1001/jamainternmed.2021.0269

4. Rothberg MB. The $50 000 physical. JAMA. 2020;323:1682-1683. doi: 10.1001/jama.2020.2866

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Ordering and interpreting tests is at the heart of what we do as family physicians. Ordering tests judiciously and interpreting them accurately is not easy. The Choosing Wisely campaign1 has focused our attention on the need to think carefully before ordering tests, whether they be laboratory tests or imaging. Before ordering any test, one should always ask: Is the result of this test going to help me make better decisions about managing this patient?

I would like to highlight and expand on 2 problematic issues Kaminski and Venkat raise in their excellent article on testing in this issue of JFP.2

One should always ask: Is the result of this test going to help me make better decisions?

First, they advise us to know the pretest probability of a disease before we order a test. If we order a test on a patient for whom the probability of disease is very low, a positive result is likely to be a false-positive and mislead us into thinking the patient has the disease when he does not. If we order a test for a patient with a high probability of disease and the result is negative, there is great danger of a false-­negative. We might think the patient does not have the disease, but she does.

There is a deeper problem here, however. Primary care physicians are notorious for overestimating disease probability. In a recent study, primary care clinicians overestimated the pretest probability of disease 2- to 10-fold in scenarios involving 4 common diagnoses: breast cancer, coronary artery disease (CAD), pneumonia, and urinary tract infection.3 Even after receiving a negative test result, clinicians still overestimated the chance of disease in all the scenarios. For example, when presented with a 43-year-old premenopausal woman with atypical chest pain and a normal electrocardiogram, clinicians’ average estimate of the probability of CAD was 10%—considerably higher than true estimates of 1% to 4.4%.3

To improve your accuracy in judging pretest probabilities, see the diagnostic test calculators in Essential Evidence Plus (www.essentialevidenceplus.com/).

Secondly, Kaminski and Venkat advise us to try to avoid the testing cascade.2 The associated dangers to patients are considerable. For a cautionary tale, I recommend you read the essay by Michael B. Rothberg, MD, MPH, called “The $50,000 Physical”.4 Dr. Rothberg describes the testing cascade his 85-year-old father experienced, which led to a liver biopsy that nearly killed him from post-biopsy bleeding. Always remember: Testing is a double-edged sword. It can help—or harm—your patients.

Ordering and interpreting tests is at the heart of what we do as family physicians. Ordering tests judiciously and interpreting them accurately is not easy. The Choosing Wisely campaign1 has focused our attention on the need to think carefully before ordering tests, whether they be laboratory tests or imaging. Before ordering any test, one should always ask: Is the result of this test going to help me make better decisions about managing this patient?

I would like to highlight and expand on 2 problematic issues Kaminski and Venkat raise in their excellent article on testing in this issue of JFP.2

One should always ask: Is the result of this test going to help me make better decisions?

First, they advise us to know the pretest probability of a disease before we order a test. If we order a test on a patient for whom the probability of disease is very low, a positive result is likely to be a false-positive and mislead us into thinking the patient has the disease when he does not. If we order a test for a patient with a high probability of disease and the result is negative, there is great danger of a false-­negative. We might think the patient does not have the disease, but she does.

There is a deeper problem here, however. Primary care physicians are notorious for overestimating disease probability. In a recent study, primary care clinicians overestimated the pretest probability of disease 2- to 10-fold in scenarios involving 4 common diagnoses: breast cancer, coronary artery disease (CAD), pneumonia, and urinary tract infection.3 Even after receiving a negative test result, clinicians still overestimated the chance of disease in all the scenarios. For example, when presented with a 43-year-old premenopausal woman with atypical chest pain and a normal electrocardiogram, clinicians’ average estimate of the probability of CAD was 10%—considerably higher than true estimates of 1% to 4.4%.3

To improve your accuracy in judging pretest probabilities, see the diagnostic test calculators in Essential Evidence Plus (www.essentialevidenceplus.com/).

Secondly, Kaminski and Venkat advise us to try to avoid the testing cascade.2 The associated dangers to patients are considerable. For a cautionary tale, I recommend you read the essay by Michael B. Rothberg, MD, MPH, called “The $50,000 Physical”.4 Dr. Rothberg describes the testing cascade his 85-year-old father experienced, which led to a liver biopsy that nearly killed him from post-biopsy bleeding. Always remember: Testing is a double-edged sword. It can help—or harm—your patients.

References

1. American Board of Internal Medicine Foundation. Choosing Wisely. Accessed June 30, 2022. www.choosingwisely.org/

2. Kaminski M, Venkat N. A judicious approach to ordering lab tests. J Fam Pract. 2022;71:245-250. doi: 10.12788/jfp.0444

3. Morgan DJ, Pineles L, Owczarzak J, et al. Accuracy of practitioner estimates of probability of diagnosis before and after testing. JAMA Intern Med. 2021;181:747-755. doi: 10.1001/jamainternmed.2021.0269

4. Rothberg MB. The $50 000 physical. JAMA. 2020;323:1682-1683. doi: 10.1001/jama.2020.2866

References

1. American Board of Internal Medicine Foundation. Choosing Wisely. Accessed June 30, 2022. www.choosingwisely.org/

2. Kaminski M, Venkat N. A judicious approach to ordering lab tests. J Fam Pract. 2022;71:245-250. doi: 10.12788/jfp.0444

3. Morgan DJ, Pineles L, Owczarzak J, et al. Accuracy of practitioner estimates of probability of diagnosis before and after testing. JAMA Intern Med. 2021;181:747-755. doi: 10.1001/jamainternmed.2021.0269

4. Rothberg MB. The $50 000 physical. JAMA. 2020;323:1682-1683. doi: 10.1001/jama.2020.2866

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